paper_url
stringlengths 32
40
| comment
stringlengths 434
1.61k
⌀ |
|---|---|
https://huggingface.co/papers/1611.09842 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [4M: Massively Multimodal Masked Modeling](https://huggingface.co/papers/2312.06647) (2023)
* [Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm](https://huggingface.co/papers/2312.12668) (2023)
* [Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models](https://huggingface.co/papers/2312.08888) (2023)
* [Scalable Pre-training of Large Autoregressive Image Models](https://huggingface.co/papers/2401.08541) (2024)
* [Masked Modeling for Self-supervised Representation Learning on Vision and Beyond](https://huggingface.co/papers/2401.00897) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1701.06538 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models](https://huggingface.co/papers/2405.18832) (2024)
* [U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF](https://huggingface.co/papers/2404.16407) (2024)
* [A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts](https://huggingface.co/papers/2405.16646) (2024)
* [Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters](https://huggingface.co/papers/2406.05955) (2024)
* [Graph Knowledge Distillation to Mixture of Experts](https://huggingface.co/papers/2406.11919) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/abs/1706.03762 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation](https://huggingface.co/papers/2312.15872) (2023)
* [Quick Back-Translation for Unsupervised Machine Translation](https://huggingface.co/papers/2312.00912) (2023)
* [MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining](https://huggingface.co/papers/2312.17482) (2023)
* [TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing](https://huggingface.co/papers/2312.05605) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1802.01817 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation](https://huggingface.co/papers/2405.19290) (2024)
* [Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis](https://huggingface.co/papers/2406.04467) (2024)
* [SpaceByte: Towards Deleting Tokenization from Large Language Modeling](https://huggingface.co/papers/2404.14408) (2024)
* [GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System](https://huggingface.co/papers/2404.14062) (2024)
* [Rethinking the adaptive relationship between Encoder Layers and Decoder Layers](https://huggingface.co/papers/2405.08570) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1902.01659 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [XAI for In-hospital Mortality Prediction via Multimodal ICU Data](https://huggingface.co/papers/2312.17624) (2023)
* [Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis](https://huggingface.co/papers/2312.08383) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1903.09940 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM](https://huggingface.co/papers/2403.11448) (2024)
* [Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume](https://huggingface.co/papers/2403.05100) (2024)
* [Improving Adversarial Training using Vulnerability-Aware Perturbation Budget](https://huggingface.co/papers/2403.04070) (2024)
* [Tighter Bounds on the Information Bottleneck with Application to Deep Learning](https://huggingface.co/papers/2402.07639) (2024)
* [Robust optimization for adversarial learning with finite sample complexity guarantees](https://huggingface.co/papers/2403.15207) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1903.12248 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis](https://huggingface.co/papers/2403.00529) (2024)
* [A Closer Look at Wav2vec2 Embeddings for On-Device Single-Channel Speech Enhancement](https://huggingface.co/papers/2403.01369) (2024)
* [Diffusion Models for Audio Restoration](https://huggingface.co/papers/2402.09821) (2024)
* [PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model](https://huggingface.co/papers/2402.14692) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/abs/1905.11946 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Differentiable Model Scaling using Differentiable Topk](https://huggingface.co/papers/2405.07194) (2024)
* [GhostNetV3: Exploring the Training Strategies for Compact Models](https://huggingface.co/papers/2404.11202) (2024)
* [Revisiting Neural Networks for Continual Learning: An Architectural Perspective](https://huggingface.co/papers/2404.14829) (2024)
* [MobileNetV4 - Universal Models for the Mobile Ecosystem](https://huggingface.co/papers/2404.10518) (2024)
* [Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors](https://huggingface.co/papers/2406.04820) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1907.01424 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Stylized Face Sketch Extraction via Generative Prior with Limited Data](https://huggingface.co/papers/2403.11263) (2024)
* [Hierarchical Generative Network for Face Morphing Attacks](https://huggingface.co/papers/2403.11101) (2024)
* [Deformable One-shot Face Stylization via DINO Semantic Guidance](https://huggingface.co/papers/2403.00459) (2024)
* [DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment](https://huggingface.co/papers/2403.17217) (2024)
* [RoNet: Rotation-oriented Continuous Image Translation](https://huggingface.co/papers/2404.04474) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/1911.08647 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [CNN-DRL for Scalable Actions in Finance](https://huggingface.co/papers/2401.06179) (2024)
* [Deep Reinforcement Learning for Quantitative Trading](https://huggingface.co/papers/2312.15730) (2023)
* [Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism](https://huggingface.co/papers/2401.00015) (2023)
* [Scalable Agent-Based Modeling for Complex Financial Market Simulations](https://huggingface.co/papers/2312.14903) (2023)
* [CVA Hedging by Risk-Averse Stochastic-Horizon Reinforcement Learning](https://huggingface.co/papers/2312.14044) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2005.11401 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus](https://huggingface.co/papers/2402.01176) (2024)
* [Re3val: Reinforced and Reranked Generative Retrieval](https://huggingface.co/papers/2401.16979) (2024)
* [Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation](https://huggingface.co/papers/2402.18334) (2024)
* [RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems](https://huggingface.co/papers/2403.09040) (2024)
* [ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling](https://huggingface.co/papers/2402.13542) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2006.11239 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Lossy Image Compression with Foundation Diffusion Models](https://huggingface.co/papers/2404.08580) (2024)
* [Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis](https://huggingface.co/papers/2403.16258) (2024)
* [Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models](https://huggingface.co/papers/2404.16556) (2024)
* [Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling](https://huggingface.co/papers/2404.12940) (2024)
* [Physics-Informed Diffusion Models](https://huggingface.co/papers/2403.14404) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/abs/2008.09470 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2010.03692 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [GiMeFive: Towards Interpretable Facial Emotion Classification](https://huggingface.co/papers/2402.15662) (2024)
* [BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions](https://huggingface.co/papers/2402.13955) (2024)
* [Multi-model learning by sequential reading of untrimmed videos for action recognition](https://huggingface.co/papers/2401.14675) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2101.08231 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Improving Cross-lingual Representation for Semantic Retrieval with Code-switching](https://huggingface.co/papers/2403.01364) (2024)
* [Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings](https://huggingface.co/papers/2402.17016) (2024)
* [Adapting Large Language Models for Document-Level Machine Translation](https://huggingface.co/papers/2401.06468) (2024)
* [TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models](https://huggingface.co/papers/2401.06620) (2024)
* [AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging](https://huggingface.co/papers/2402.18913) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2103.00020 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Modeling Caption Diversity in Contrastive Vision-Language Pretraining](https://huggingface.co/papers/2405.00740) (2024)
* [CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data](https://huggingface.co/papers/2404.15653) (2024)
* [Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval](https://huggingface.co/papers/2405.03190) (2024)
* [RankCLIP: Ranking-Consistent Language-Image Pretraining](https://huggingface.co/papers/2404.09387) (2024)
* [CLIP with Quality Captions: A Strong Pretraining for Vision Tasks](https://huggingface.co/papers/2405.08911) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/pdf/2104.08691 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation](https://huggingface.co/papers/2404.19335) (2024)
* [Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets](https://huggingface.co/papers/2404.01242) (2024)
* [Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning](https://huggingface.co/papers/2404.12897) (2024)
* [Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning](https://huggingface.co/papers/2404.14607) (2024)
* [ReFT: Representation Finetuning for Language Models](https://huggingface.co/papers/2404.03592) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2106.12672 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://huggingface.co/papers/2407.08818) (2024)
* [Symmetric Dot-Product Attention for Efficient Training of BERT Language Models](https://huggingface.co/papers/2406.06366) (2024)
* [Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation](https://huggingface.co/papers/2405.19290) (2024)
* [Investigating Decoder-only Large Language Models for Speech-to-text Translation](https://huggingface.co/papers/2407.03169) (2024)
* [Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages](https://huggingface.co/papers/2406.12739) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2106.13302 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Optimizing Byte-level Representation for End-to-end ASR](https://huggingface.co/papers/2406.09676) (2024)
* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)
* [Unified Low-rank Compression Framework for Click-through Rate Prediction](https://huggingface.co/papers/2405.18146) (2024)
* [Retrieval Augmented Zero-Shot Text Classification](https://huggingface.co/papers/2406.15241) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2107.14795 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities](https://huggingface.co/papers/2406.05496) (2024)
* [4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities](https://huggingface.co/papers/2406.09406) (2024)
* [Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild](https://huggingface.co/papers/2404.18459) (2024)
* [Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations](https://huggingface.co/papers/2405.14239) (2024)
* [Vision-LSTM: xLSTM as Generic Vision Backbone](https://huggingface.co/papers/2406.04303) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2112.00653 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers](https://huggingface.co/papers/2402.08327) (2024)
* [ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling](https://huggingface.co/papers/2402.13542) (2024)
* [Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation](https://huggingface.co/papers/2402.18150) (2024)
* [RAFT: Adapting Language Model to Domain Specific RAG](https://huggingface.co/papers/2403.10131) (2024)
* [M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval](https://huggingface.co/papers/2403.14074) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2112.05682 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [CAST: Clustering Self-Attention using Surrogate Tokens for Efficient Transformers](https://huggingface.co/papers/2402.04239) (2024)
* [AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference](https://huggingface.co/papers/2401.10652) (2024)
* [TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax](https://huggingface.co/papers/2403.02920) (2024)
* [Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level](https://huggingface.co/papers/2403.04690) (2024)
* [NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention](https://huggingface.co/papers/2403.01273) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/abs/2112.10003 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation](https://huggingface.co/papers/2406.05271) (2024)
* [Enhancing Vision-Language Model with Unmasked Token Alignment](https://huggingface.co/papers/2405.19009) (2024)
* [Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation](https://huggingface.co/papers/2405.13388) (2024)
* [Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation](https://huggingface.co/papers/2406.00670) (2024)
* [Zero Shot Context-Based Object Segmentation using SLIP (SAM+CLIP)](https://huggingface.co/papers/2405.07284) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2112.12777 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [CLIPRerank: An Extremely Simple Method for Improving Ad-hoc Video Search](https://huggingface.co/papers/2401.08449) (2024)
* [FreestyleRet: Retrieving Images from Style-Diversified Queries](https://huggingface.co/papers/2312.02428) (2023)
* [PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models](https://huggingface.co/papers/2312.02429) (2023)
* [Do Vision and Language Encoders Represent the World Similarly?](https://huggingface.co/papers/2401.05224) (2024)
* [LeanVec: Search your vectors faster by making them fit](https://huggingface.co/papers/2312.16335) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2202.04901 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation](https://huggingface.co/papers/2408.15239) (2024)
* [HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment](https://huggingface.co/papers/2409.05531) (2024)
* [StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos](https://huggingface.co/papers/2409.07447) (2024)
* [ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis](https://huggingface.co/papers/2409.02048) (2024)
* [Thin-Plate Spline-based Interpolation for Animation Line Inbetweening](https://huggingface.co/papers/2408.09131) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/pdf/2202.13914 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning](https://huggingface.co/papers/2407.01531) (2024)
* [HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning](https://huggingface.co/papers/2407.05229) (2024)
* [Unlocking Continual Learning Abilities in Language Models](https://huggingface.co/papers/2406.17245) (2024)
* [Meta-Learning Neural Procedural Biases](https://huggingface.co/papers/2406.07983) (2024)
* [An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates](https://huggingface.co/papers/2405.18069) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2203.16634 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [How Effective are State Space Models for Machine Translation?](https://huggingface.co/papers/2407.05489) (2024)
* [Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models](https://huggingface.co/papers/2407.17406) (2024)
* [Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell](https://huggingface.co/papers/2406.14673) (2024)
* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)
* [Understanding and Mitigating Tokenization Bias in Language Models](https://huggingface.co/papers/2406.16829) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2206.04658 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [VNet: A GAN-based Multi-Tier Discriminator Network for Speech Synthesis Vocoders](https://huggingface.co/papers/2408.06906) (2024)
* [Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems](https://huggingface.co/papers/2409.02517) (2024)
* [Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization](https://huggingface.co/papers/2408.08019) (2024)
* [WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling](https://huggingface.co/papers/2408.16532) (2024)
* [PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation](https://huggingface.co/papers/2408.07547) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2206.07682 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [How predictable is language model benchmark performance?](https://huggingface.co/papers/2401.04757) (2024)
* [TinyLlama: An Open-Source Small Language Model](https://huggingface.co/papers/2401.02385) (2024)
* [Distilling LLMs' Decomposition Abilities into Compact Language Models](https://huggingface.co/papers/2402.01812) (2024)
* [Supervised Knowledge Makes Large Language Models Better In-context Learners](https://huggingface.co/papers/2312.15918) (2023)
* [Can Large Language Models Understand Context?](https://huggingface.co/papers/2402.00858) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2206.08464 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations](https://huggingface.co/papers/2403.19163) (2024)
* [The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth](https://huggingface.co/papers/2404.18949) (2024)
* [NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer](https://huggingface.co/papers/2404.16890) (2024)
* [Towards Generalized Entropic Sparsification for Convolutional Neural Networks](https://huggingface.co/papers/2404.04734) (2024)
* [Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment](https://huggingface.co/papers/2405.03594) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2207.07611 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Pseudo Labelling for Enhanced Masked Autoencoders](https://huggingface.co/papers/2406.17450) (2024)
* [How Lightweight Can A Vision Transformer Be](https://huggingface.co/papers/2407.17783) (2024)
* [SIGMA:Sinkhorn-Guided Masked Video Modeling](https://huggingface.co/papers/2407.15447) (2024)
* [Unified Auto-Encoding with Masked Diffusion](https://huggingface.co/papers/2406.17688) (2024)
* [Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning](https://huggingface.co/papers/2407.05862) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2208.12242 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image](https://huggingface.co/papers/2402.11849) (2024)
* [Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding](https://huggingface.co/papers/2401.15708) (2024)
* [Direct Consistency Optimization for Compositional Text-to-Image Personalization](https://huggingface.co/papers/2402.12004) (2024)
* [Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation](https://huggingface.co/papers/2402.09966) (2024)
* [Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization](https://huggingface.co/papers/2401.16762) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2209.07634 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Investigating Decoder-only Large Language Models for Speech-to-text Translation](https://huggingface.co/papers/2407.03169) (2024)
* [A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation](https://huggingface.co/papers/2406.09881) (2024)
* [S3: A Simple Strong Sample-effective Multimodal Dialog System](https://huggingface.co/papers/2406.18305) (2024)
* [Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation](https://huggingface.co/papers/2406.03703) (2024)
* [Hello Again! LLM-powered Personalized Agent for Long-term Dialogue](https://huggingface.co/papers/2406.05925) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2209.11883 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Deep Learning without Weight Symmetry](https://huggingface.co/papers/2405.20594) (2024)
* [EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks](https://huggingface.co/papers/2405.13976) (2024)
* [LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization](https://huggingface.co/papers/2405.15868) (2024)
* [Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms](https://huggingface.co/papers/2404.14664) (2024)
* [Hard ASH: Sparsity and the right optimizer make a continual learner](https://huggingface.co/papers/2404.17651) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2209.13569 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining](https://huggingface.co/papers/2406.02214) (2024)
* [LoQT: Low Rank Adapters for Quantized Training](https://huggingface.co/papers/2405.16528) (2024)
* [Revealing the Utilized Rank of Subspaces of Learning in Neural Networks](https://huggingface.co/papers/2407.04797) (2024)
* [An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates](https://huggingface.co/papers/2405.18069) (2024)
* [Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks](https://huggingface.co/papers/2405.15481) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2210.07295 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation](https://huggingface.co/papers/2403.03496) (2024)
* [Infusing Knowledge into Large Language Models with Contextual Prompts](https://huggingface.co/papers/2403.01481) (2024)
* [Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models](https://huggingface.co/papers/2402.14195) (2024)
* [SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation](https://huggingface.co/papers/2404.01923) (2024)
* [RAFT: Adapting Language Model to Domain Specific RAG](https://huggingface.co/papers/2403.10131) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2210.15523 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning](https://huggingface.co/papers/2406.05276) (2024)
* [Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations](https://huggingface.co/papers/2407.05690) (2024)
* [FoldGPT: Simple and Effective Large Language Model Compression Scheme](https://huggingface.co/papers/2407.00928) (2024)
* [Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning](https://huggingface.co/papers/2407.01320) (2024)
* [DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution](https://huggingface.co/papers/2405.17357) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2211.00593 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task](https://huggingface.co/papers/2402.11917) (2024)
* [Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT](https://huggingface.co/papers/2402.12201) (2024)
* [Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals](https://huggingface.co/papers/2402.11655) (2024)
* [Identifying Semantic Induction Heads to Understand In-Context Learning](https://huggingface.co/papers/2402.13055) (2024)
* [Universal Neurons in GPT2 Language Models](https://huggingface.co/papers/2401.12181) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2211.00635 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Unveiling the Generalization Power of Fine-Tuned Large Language Models](https://huggingface.co/papers/2403.09162) (2024)
* [Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures](https://huggingface.co/papers/2402.17934) (2024)
* [Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation](https://huggingface.co/papers/2402.18334) (2024)
* [PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning](https://huggingface.co/papers/2402.15082) (2024)
* [Fine-tuning Large Language Models for Domain-specific Machine Translation](https://huggingface.co/papers/2402.15061) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2211.05100 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Nemotron-4 15B Technical Report](https://huggingface.co/papers/2402.16819) (2024)
* [Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese](https://huggingface.co/papers/2403.13638) (2024)
* [Latxa: An Open Language Model and Evaluation Suite for Basque](https://huggingface.co/papers/2403.20266) (2024)
* [Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order](https://huggingface.co/papers/2404.00399) (2024)
* [GlórIA: A Generative and Open Large Language Model for Portuguese](https://huggingface.co/papers/2402.12969) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2211.09761 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://huggingface.co/papers/2407.08818) (2024)
* [Breaking the Attention Bottleneck](https://huggingface.co/papers/2406.10906) (2024)
* [Unsupervised Morphological Tree Tokenizer](https://huggingface.co/papers/2406.15245) (2024)
* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)
* [Exploring the Benefits of Tokenization of Discrete Acoustic Units](https://huggingface.co/papers/2406.05547) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2211.12677 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation](https://huggingface.co/papers/2405.19290) (2024)
* [MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://huggingface.co/papers/2407.08818) (2024)
* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)
* [Super Tiny Language Models](https://huggingface.co/papers/2405.14159) (2024)
* [Investigating the translation capabilities of Large Language Models trained on parallel data only](https://huggingface.co/papers/2406.09140) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2212.10560 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Efficacy of Machine-Generated Instructions](https://huggingface.co/papers/2312.14423) (2023)
* [SelectLLM: Can LLMs Select Important Instructions to Annotate?](https://huggingface.co/papers/2401.16553) (2024)
* [Benchmarking Large Language Models on Controllable Generation under Diversified Instructions](https://huggingface.co/papers/2401.00690) (2024)
* [Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation](https://huggingface.co/papers/2401.06477) (2024)
* [WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](https://huggingface.co/papers/2312.14187) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2301.03988 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks](https://huggingface.co/papers/2403.04814) (2024)
* [CodeShell Technical Report](https://huggingface.co/papers/2403.15747) (2024)
* [StarCoder 2 and The Stack v2: The Next Generation](https://huggingface.co/papers/2402.19173) (2024)
* [EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories](https://huggingface.co/papers/2404.00599) (2024)
* [Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study](https://huggingface.co/papers/2403.15185) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2301.12597 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs](https://huggingface.co/papers/2407.13851) (2024)
* [Enhancing Vision-Language Model with Unmasked Token Alignment](https://huggingface.co/papers/2405.19009) (2024)
* [A Single Transformer for Scalable Vision-Language Modeling](https://huggingface.co/papers/2407.06438) (2024)
* [Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning](https://huggingface.co/papers/2406.07543) (2024)
* [Multi-Modal Generative Embedding Model](https://huggingface.co/papers/2405.19333) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2302.13482 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Fuzzy Datalog$^\exists$ over Arbitrary t-Norms](https://huggingface.co/papers/2403.02933) (2024)
* [A Strategy for Implementing description Temporal Dynamic Algorithms in Dynamic Knowledge Graphs by SPIN](https://huggingface.co/papers/2401.07890) (2024)
* [Sandra - A Neuro-Symbolic Reasoner Based On Descriptions And Situations](https://huggingface.co/papers/2402.00591) (2024)
* [A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making](https://huggingface.co/papers/2402.13440) (2024)
* [Soft Reasoning on Uncertain Knowledge Graphs](https://huggingface.co/papers/2403.01508) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2303.15343 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LoTLIP: Improving Language-Image Pre-training for Long Text Understanding](https://huggingface.co/papers/2410.05249) (2024)
* [NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training](https://huggingface.co/papers/2409.09582) (2024)
* [Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency](https://huggingface.co/papers/2410.10879) (2024)
* [Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment](https://huggingface.co/papers/2409.01936) (2024)
* [Contrastive Localized Language-Image Pre-Training](https://huggingface.co/papers/2410.02746) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2304.11477 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models](https://huggingface.co/papers/2403.17246) (2024)
* [NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions](https://huggingface.co/papers/2405.04215) (2024)
* [DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models](https://huggingface.co/papers/2404.03275) (2024)
* [Large Language Models as Planning Domain Generators (Student Abstract)](https://huggingface.co/papers/2405.06650) (2024)
* [Empowering Large Language Models on Robotic Manipulation with Affordance Prompting](https://huggingface.co/papers/2404.11027) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2304.12244 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](https://huggingface.co/papers/2312.14187) (2023)
* [Benchmarking Large Language Models on Controllable Generation under Diversified Instructions](https://huggingface.co/papers/2401.00690) (2024)
* [One Shot Learning as Instruction Data Prospector for Large Language Models](https://huggingface.co/papers/2312.10302) (2023)
* [SelectLLM: Can LLMs Select Important Instructions to Annotate?](https://huggingface.co/papers/2401.16553) (2024)
* [Jatmo: Prompt Injection Defense by Task-Specific Finetuning](https://huggingface.co/papers/2312.17673) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.01625 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention](https://huggingface.co/papers/2404.07143) (2024)
* [IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs](https://huggingface.co/papers/2405.02842) (2024)
* [Linearizing Large Language Models](https://huggingface.co/papers/2405.06640) (2024)
* [XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference](https://huggingface.co/papers/2404.15420) (2024)
* [LLoCO: Learning Long Contexts Offline](https://huggingface.co/papers/2404.07979) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.01979 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies](https://huggingface.co/papers/2403.14974) (2024)
* [Exploiting Style Latent Flows for Generalizing Deepfake Detection Video Detection](https://huggingface.co/papers/2403.06592) (2024)
* [G4G: A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment](https://huggingface.co/papers/2402.18122) (2024)
* [DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction](https://huggingface.co/papers/2403.01226) (2024)
* [Siamese Vision Transformers are Scalable Audio-visual Learners](https://huggingface.co/papers/2403.19638) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.06161 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [StarCoder 2 and The Stack v2: The Next Generation](https://huggingface.co/papers/2402.19173) (2024)
* [Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study](https://huggingface.co/papers/2403.15185) (2024)
* [CommitBench: A Benchmark for Commit Message Generation](https://huggingface.co/papers/2403.05188) (2024)
* [CodeShell Technical Report](https://huggingface.co/papers/2403.15747) (2024)
* [Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks](https://huggingface.co/papers/2403.04814) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.07185 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [SpaceByte: Towards Deleting Tokenization from Large Language Modeling](https://huggingface.co/papers/2404.14408) (2024)
* [Block Transformer: Global-to-Local Language Modeling for Fast Inference](https://huggingface.co/papers/2406.02657) (2024)
* [You Only Cache Once: Decoder-Decoder Architectures for Language Models](https://huggingface.co/papers/2405.05254) (2024)
* [LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory](https://huggingface.co/papers/2404.11163) (2024)
* [Linearizing Large Language Models](https://huggingface.co/papers/2405.06640) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.07759 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Emergent Abilities in Reduced-Scale Generative Language Models](https://huggingface.co/papers/2404.02204) (2024)
* [Better&Faster Large Language Models via Multi-token Prediction](https://huggingface.co/papers/2404.19737) (2024)
* [Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese](https://huggingface.co/papers/2403.13638) (2024)
* [ReFT: Representation Finetuning for Language Models](https://huggingface.co/papers/2404.03592) (2024)
* [Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck](https://huggingface.co/papers/2404.07647) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.11554 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LLoCO: Learning Long Contexts Offline](https://huggingface.co/papers/2404.07979) (2024)
* [Automatic Prompt Selection for Large Language Models](https://huggingface.co/papers/2404.02717) (2024)
* [AlphaMath Almost Zero: process Supervision without process](https://huggingface.co/papers/2405.03553) (2024)
* [Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation](https://huggingface.co/papers/2404.05143) (2024)
* [MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning](https://huggingface.co/papers/2405.07551) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.11790 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions](https://huggingface.co/papers/2402.16431) (2024)
* [Fine-tuning Large Language Models with Sequential Instructions](https://huggingface.co/papers/2403.07794) (2024)
* [Language Models for Text Classification: Is In-Context Learning Enough?](https://huggingface.co/papers/2403.17661) (2024)
* [Eliciting Better Multilingual Structured Reasoning from LLMs through Code](https://huggingface.co/papers/2403.02567) (2024)
* [Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models](https://huggingface.co/papers/2402.11532) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.12689 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Block Transformer: Global-to-Local Language Modeling for Fast Inference](https://huggingface.co/papers/2406.02657) (2024)
* [You Only Cache Once: Decoder-Decoder Architectures for Language Models](https://huggingface.co/papers/2405.05254) (2024)
* [Towards smaller, faster decoder-only transformers: Architectural variants and their implications](https://huggingface.co/papers/2404.14462) (2024)
* [You Only Need Less Attention at Each Stage in Vision Transformers](https://huggingface.co/papers/2406.00427) (2024)
* [MetaMixer Is All You Need](https://huggingface.co/papers/2406.02021) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.13648 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities](https://huggingface.co/papers/2405.20089) (2024)
* [Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation](https://huggingface.co/papers/2405.11937) (2024)
* [Quality Estimation with k-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation](https://huggingface.co/papers/2404.18031) (2024)
* [Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations](https://huggingface.co/papers/2404.07851) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.14235 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Are Large Language Models Actually Good at Text Style Transfer?](https://huggingface.co/papers/2406.05885) (2024)
* [LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback](https://huggingface.co/papers/2406.01771) (2024)
* [IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages](https://huggingface.co/papers/2404.16816) (2024)
* [LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language](https://huggingface.co/papers/2405.07745) (2024)
* [Code-mixed Sentiment and Hate-speech Prediction](https://huggingface.co/papers/2405.12929) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.14992 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS](https://huggingface.co/papers/2411.18478) (2024)
* [Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks](https://huggingface.co/papers/2410.01428) (2024)
* [Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model](https://huggingface.co/papers/2410.03136) (2024)
* [Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models](https://huggingface.co/papers/2410.20007) (2024)
* [Interpretable Contrastive Monte Carlo Tree Search Reasoning](https://huggingface.co/papers/2410.01707) (2024)
* [DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search](https://huggingface.co/papers/2410.03864) (2024)
* [ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning](https://huggingface.co/papers/2410.02052) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.16291 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [RL-GPT: Integrating Reinforcement Learning and Code-as-policy](https://huggingface.co/papers/2402.19299) (2024)
* [Empowering Large Language Model Agents through Action Learning](https://huggingface.co/papers/2402.15809) (2024)
* [S-Agents: self-organizing agents in open-ended environment](https://huggingface.co/papers/2402.04578) (2024)
* [Executable Code Actions Elicit Better LLM Agents](https://huggingface.co/papers/2402.01030) (2024)
* [OS-Copilot: Towards Generalist Computer Agents with Self-Improvement](https://huggingface.co/papers/2402.07456) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://arxiv.org/pdf/2305.18295 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Generating Intermediate Representations for Compositional Text-To-Image Generation](https://huggingface.co/papers/2410.09792) (2024)
* [Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection](https://huggingface.co/papers/2409.19624) (2024)
* [Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training](https://huggingface.co/papers/2410.04439) (2024)
* [Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models](https://huggingface.co/papers/2410.22775) (2024)
* [Beyond Color and Lines: Zero-Shot Style-Specific Image Variations with Coordinated Semantics](https://huggingface.co/papers/2410.18537) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2305.18802 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks](https://huggingface.co/papers/2408.06227) (2024)
* [IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS](https://huggingface.co/papers/2409.05356) (2024)
* [Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems](https://huggingface.co/papers/2409.02517) (2024)
* [Text-To-Speech Synthesis In The Wild](https://huggingface.co/papers/2409.08711) (2024)
* [Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion](https://huggingface.co/papers/2409.17387) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2306.01685 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LoQT: Low Rank Adapters for Quantized Training](https://huggingface.co/papers/2405.16528) (2024)
* [SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs](https://huggingface.co/papers/2405.16325) (2024)
* [4-bit Shampoo for Memory-Efficient Network Training](https://huggingface.co/papers/2405.18144) (2024)
* [AdaFisher: Adaptive Second Order Optimization via Fisher Information](https://huggingface.co/papers/2405.16397) (2024)
* [AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning](https://huggingface.co/papers/2405.01067) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2306.07174 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Long-Context Language Modeling with Parallel Context Encoding](https://huggingface.co/papers/2402.16617) (2024)
* [CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory](https://huggingface.co/papers/2402.13449) (2024)
* [LongHeads: Multi-Head Attention is Secretly a Long Context Processor](https://huggingface.co/papers/2402.10685) (2024)
* [Online Adaptation of Language Models with a Memory of Amortized Contexts](https://huggingface.co/papers/2403.04317) (2024)
* [NextLevelBERT: Investigating Masked Language Modeling with Higher-Level Representations for Long Documents](https://huggingface.co/papers/2402.17682) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2306.11987 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators](https://huggingface.co/papers/2401.14110) (2024)
* [OneBit: Towards Extremely Low-bit Large Language Models](https://huggingface.co/papers/2402.11295) (2024)
* [Model Compression and Efficient Inference for Large Language Models: A Survey](https://huggingface.co/papers/2402.09748) (2024)
* [LQER: Low-Rank Quantization Error Reconstruction for LLMs](https://huggingface.co/papers/2402.02446) (2024)
* [WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More](https://huggingface.co/papers/2402.12065) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2306.15401 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Open-vocabulary Multimodal Emotion Recognition: Dataset, Metric, and Benchmark](https://huggingface.co/papers/2410.01495) (2024)
* [Generative Emotion Cause Explanation in Multimodal Conversations](https://huggingface.co/papers/2411.02430) (2024)
* [Visual Prompting in LLMs for Enhancing Emotion Recognition](https://huggingface.co/papers/2410.02244) (2024)
* [AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models](https://huggingface.co/papers/2409.18339) (2024)
* [Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description](https://huggingface.co/papers/2410.02049) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2306.16635 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [A Large-scale Empirical Study on Improving the Fairness of Deep Learning Models](https://huggingface.co/papers/2401.03695) (2024)
* [Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation](https://huggingface.co/papers/2312.05508) (2023)
* [Falcon: Fair Active Learning using Multi-armed Bandits](https://huggingface.co/papers/2401.12722) (2024)
* [Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification](https://huggingface.co/papers/2401.03097) (2024)
* [Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective](https://huggingface.co/papers/2312.10181) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.01952 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Photorealistic Video Generation with Diffusion Models](https://huggingface.co/papers/2312.06662) (2023)
* [GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation](https://huggingface.co/papers/2312.04557) (2023)
* [Boosting Latent Diffusion with Flow Matching](https://huggingface.co/papers/2312.07360) (2023)
* [KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis](https://huggingface.co/papers/2312.04005) (2023)
* [SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation](https://huggingface.co/papers/2312.05239) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.03172 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Marathon: A Race Through the Realm of Long Context with Large Language Models](https://huggingface.co/papers/2312.09542) (2023)
* ["Paraphrasing The Original Text" Makes High Accuracy Long-Context QA](https://huggingface.co/papers/2312.11193) (2023)
* [Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately](https://huggingface.co/papers/2402.01722) (2024)
* [LongAlign: A Recipe for Long Context Alignment of Large Language Models](https://huggingface.co/papers/2401.18058) (2024)
* [Structured Packing in LLM Training Improves Long Context Utilization](https://huggingface.co/papers/2312.17296) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.03692 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models](https://huggingface.co/papers/2404.02823) (2024)
* [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://huggingface.co/papers/2404.04042) (2024)
* [Improving the Robustness of Large Language Models via Consistency Alignment](https://huggingface.co/papers/2403.14221) (2024)
* [Automated Data Curation for Robust Language Model Fine-Tuning](https://huggingface.co/papers/2403.12776) (2024)
* [Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models](https://huggingface.co/papers/2405.00402) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.06440 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Model Balancing Helps Low-data Training and Fine-tuning](https://huggingface.co/papers/2410.12178) (2024)
* [Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning](https://huggingface.co/papers/2410.16029) (2024)
* [COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training](https://huggingface.co/papers/2410.19313) (2024)
* [Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models](https://huggingface.co/papers/2410.09823) (2024)
* [HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation](https://huggingface.co/papers/2409.13501) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.06962 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation](https://huggingface.co/papers/2404.05143) (2024)
* [FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference](https://huggingface.co/papers/2405.04065) (2024)
* [Visually Guided Generative Text-Layout Pre-training for Document Intelligence](https://huggingface.co/papers/2403.16516) (2024)
* [LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders](https://huggingface.co/papers/2404.05961) (2024)
* [Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models](https://huggingface.co/papers/2404.04522) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.13546 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.15217 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization](https://huggingface.co/papers/2401.07181) (2024)
* [Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles](https://huggingface.co/papers/2401.00243) (2023)
* [Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble](https://huggingface.co/papers/2401.16635) (2024)
* [Secrets of RLHF in Large Language Models Part II: Reward Modeling](https://huggingface.co/papers/2401.06080) (2024)
* [West-of-N: Synthetic Preference Generation for Improved Reward Modeling](https://huggingface.co/papers/2401.12086) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2307.15663 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Hard ASH: Sparsity and the right optimizer make a continual learner](https://huggingface.co/papers/2404.17651) (2024)
* [Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling](https://huggingface.co/papers/2405.14578) (2024)
* [AdaFisher: Adaptive Second Order Optimization via Fisher Information](https://huggingface.co/papers/2405.16397) (2024)
* [Exact Gauss-Newton Optimization for Training Deep Neural Networks](https://huggingface.co/papers/2405.14402) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.03421 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style](https://huggingface.co/papers/2406.13170) (2024)
* [Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters](https://huggingface.co/papers/2406.16758) (2024)
* [When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models](https://huggingface.co/papers/2406.07368) (2024)
* [Breaking the Attention Bottleneck](https://huggingface.co/papers/2406.10906) (2024)
* [Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training](https://huggingface.co/papers/2406.17404) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.04079 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis](https://huggingface.co/papers/2312.16812) (2023)
* [4D Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2402.03307) (2024)
* [EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://huggingface.co/papers/2401.12561) (2024)
* [Deblurring 3D Gaussian Splatting](https://huggingface.co/papers/2401.00834) (2024)
* [TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering](https://huggingface.co/papers/2401.06003) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.06259 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://huggingface.co/papers/2404.04042) (2024)
* [Automated Data Curation for Robust Language Model Fine-Tuning](https://huggingface.co/papers/2403.12776) (2024)
* [Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models](https://huggingface.co/papers/2404.02823) (2024)
* [COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning](https://huggingface.co/papers/2403.18058) (2024)
* [ADELIE: Aligning Large Language Models on Information Extraction](https://huggingface.co/papers/2405.05008) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.07633 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations](https://huggingface.co/papers/2408.03130) (2024)
* [Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application](https://huggingface.co/papers/2407.01885) (2024)
* [FoldGPT: Simple and Effective Large Language Model Compression Scheme](https://huggingface.co/papers/2407.00928) (2024)
* [Eigen Attention: Attention in Low-Rank Space for KV Cache Compression](https://huggingface.co/papers/2408.05646) (2024)
* [LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices](https://huggingface.co/papers/2407.11534) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.16149 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [PersianMind: A Cross-Lingual Persian-English Large Language Model](https://huggingface.co/papers/2401.06466) (2024)
* [Orion-14B: Open-source Multilingual Large Language Models](https://huggingface.co/papers/2401.12246) (2024)
* [TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation](https://huggingface.co/papers/2401.14373) (2024)
* [On the importance of Data Scale in Pretraining Arabic Language Models](https://huggingface.co/papers/2401.07760) (2024)
* [Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?](https://huggingface.co/papers/2312.12683) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2308.16336 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Learning Shortcuts: On the Misleading Promise of NLU in Language Models](https://huggingface.co/papers/2401.09615) (2024)
* [TinyLlama: An Open-Source Small Language Model](https://huggingface.co/papers/2401.02385) (2024)
* [VinaLLaMA: LLaMA-based Vietnamese Foundation Model](https://huggingface.co/papers/2312.11011) (2023)
* [Orion-14B: Open-source Multilingual Large Language Models](https://huggingface.co/papers/2401.12246) (2024)
* [PersianMind: A Cross-Lingual Persian-English Large Language Model](https://huggingface.co/papers/2401.06466) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.00035 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Vocabulary-free Image Classification and Semantic Segmentation](https://huggingface.co/papers/2404.10864) (2024)
* [Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models](https://huggingface.co/papers/2403.10287) (2024)
* [TAG: Guidance-free Open-Vocabulary Semantic Segmentation](https://huggingface.co/papers/2403.11197) (2024)
* [Renovating Names in Open-Vocabulary Segmentation Benchmarks](https://huggingface.co/papers/2403.09593) (2024)
* [UniFS: Universal Few-shot Instance Perception with Point Representations](https://huggingface.co/papers/2404.19401) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2309.05463 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling](https://huggingface.co/papers/2401.16380) (2024)
* [OMPGPT: A Generative Pre-trained Transformer Model for OpenMP](https://huggingface.co/papers/2401.16445) (2024)
* [Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4](https://huggingface.co/papers/2312.16171) (2023)
* [Language Resources for Dutch Large Language Modelling](https://huggingface.co/papers/2312.12852) (2023)
* [TinyGSM: achieving >80% on GSM8k with small language models](https://huggingface.co/papers/2312.09241) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2309.07462 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs](https://huggingface.co/papers/2410.13394) (2024)
* [Instruction-Tuned LLMs Succeed in Document-Level MT Without Fine-Tuning -- But BLEU Turns a Blind Eye](https://huggingface.co/papers/2410.20941) (2024)
* [MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models](https://huggingface.co/papers/2410.17578) (2024)
* [What do Large Language Models Need for Machine Translation Evaluation?](https://huggingface.co/papers/2410.03278) (2024)
* [MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://huggingface.co/papers/2410.13716) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2309.08708 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Structural Pruning of Pre-trained Language Models via Neural Architecture Search](https://huggingface.co/papers/2405.02267) (2024)
* [DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution](https://huggingface.co/papers/2405.17357) (2024)
* [SKIP: Skill-Localized Prompt Tuning for Inference Speed Boost-Up](https://huggingface.co/papers/2404.11916) (2024)
* [SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models](https://huggingface.co/papers/2405.00201) (2024)
* [XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference](https://huggingface.co/papers/2404.15420) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space
You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend` |
https://huggingface.co/papers/2309.09506 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DocLLM: A layout-aware generative language model for multimodal document understanding](https://huggingface.co/papers/2401.00908) (2023)
* [InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions](https://huggingface.co/papers/2401.13313) (2024)
* [Large Language Models for Generative Information Extraction: A Survey](https://huggingface.co/papers/2312.17617) (2023)
* [Designing with Language: Wireframing UI Design Intent with Generative Large Language Models](https://huggingface.co/papers/2312.07755) (2023)
* [UMIE: Unified Multimodal Information Extraction with Instruction Tuning](https://huggingface.co/papers/2401.03082) (2024)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10020 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants](https://huggingface.co/papers/2310.00653) (2023)
* [Kosmos-2.5: A Multimodal Literate Model](https://huggingface.co/papers/2309.11419) (2023)
* [StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data](https://huggingface.co/papers/2308.10253) (2023)
* [The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)](https://huggingface.co/papers/2309.17421) (2023)
* [Language as the Medium: Multimodal Video Classification through text only](https://huggingface.co/papers/2309.10783) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10150 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [BridgeData V2: A Dataset for Robot Learning at Scale](https://huggingface.co/papers/2308.12952) (2023)
* [Robotic Offline RL from Internet Videos via Value-Function Pre-Training](https://huggingface.co/papers/2309.13041) (2023)
* [Multi-Objective Decision Transformers for Offline Reinforcement Learning](https://huggingface.co/papers/2308.16379) (2023)
* [Reasoning with Latent Diffusion in Offline Reinforcement Learning](https://huggingface.co/papers/2309.06599) (2023)
* [Conservative World Models](https://huggingface.co/papers/2309.15178) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10202 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Aligning Language Models with Offline Reinforcement Learning from Human Feedback](https://huggingface.co/papers/2308.12050) (2023)
* [RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback](https://huggingface.co/papers/2309.00267) (2023)
* [Efficient RLHF: Reducing the Memory Usage of PPO](https://huggingface.co/papers/2309.00754) (2023)
* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)
* [Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment](https://huggingface.co/papers/2310.00212) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10279 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MVDream: Multi-view Diffusion for 3D Generation](https://huggingface.co/papers/2308.16512) (2023)
* [Guide3D: Create 3D Avatars from Text and Image Guidance](https://huggingface.co/papers/2308.09705) (2023)
* [Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views](https://huggingface.co/papers/2308.14078) (2023)
* [TeCH: Text-guided Reconstruction of Lifelike Clothed Humans](https://huggingface.co/papers/2308.08545) (2023)
* [3D Reconstruction with Generalizable Neural Fields using Scene Priors](https://huggingface.co/papers/2309.15164) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10305 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)
* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)
* [Efficient Finetuning Large Language Models For Vietnamese Chatbot](https://huggingface.co/papers/2309.04646) (2023)
* [MedChatZH: a Better Medical Adviser Learns from Better Instructions](https://huggingface.co/papers/2309.01114) (2023)
* [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10537 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models](https://huggingface.co/papers/2308.09300) (2023)
* [Enhance audio generation controllability through representation similarity regularization](https://huggingface.co/papers/2309.08773) (2023)
* [Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer](https://huggingface.co/papers/2309.04641) (2023)
* [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023)
* [Training Audio Captioning Models without Audio](https://huggingface.co/papers/2309.07372) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10668 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Approximating Human-Like Few-shot Learning with GPT-based Compression](https://huggingface.co/papers/2308.06942) (2023)
* [MEMORY-VQ: Compression for Tractable Internet-Scale Memory](https://huggingface.co/papers/2308.14903) (2023)
* [Headless Language Models: Learning without Predicting with Contrastive Weight Tying](https://huggingface.co/papers/2309.08351) (2023)
* [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023)
* [The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute](https://huggingface.co/papers/2309.11197) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10706 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Sequence-to-Sequence Spanish Pre-trained Language Models](https://huggingface.co/papers/2309.11259) (2023)
* [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023)
* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)
* [Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models](https://huggingface.co/papers/2308.14149) (2023)
* [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://huggingface.co/papers/2309.11674) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10818 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://huggingface.co/papers/2309.09400) (2023)
* [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://huggingface.co/papers/2308.03281) (2023)
* [OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch](https://huggingface.co/papers/2309.10706) (2023)
* [Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models](https://huggingface.co/papers/2308.16149) (2023)
* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10917 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [PromptASR for contextualized ASR with controllable style](https://huggingface.co/papers/2309.07414) (2023)
* [Contextual Biasing of Named-Entities with Large Language Models](https://huggingface.co/papers/2309.00723) (2023)
* [SLM: Bridge the thin gap between speech and text foundation models](https://huggingface.co/papers/2310.00230) (2023)
* [Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks](https://huggingface.co/papers/2309.07937) (2023)
* [HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models](https://huggingface.co/papers/2309.15701) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.10952 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration](https://huggingface.co/papers/2309.01131) (2023)
* [Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering](https://huggingface.co/papers/2309.14389) (2023)
* [Vision Grid Transformer for Document Layout Analysis](https://huggingface.co/papers/2308.14978) (2023)
* [Informed Named Entity Recognition Decoding for Generative Language Models](https://huggingface.co/papers/2308.07791) (2023)
* [Enhancing Visually-Rich Document Understanding via Layout Structure Modeling](https://huggingface.co/papers/2308.07777) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.11009 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field](https://huggingface.co/papers/2309.17128) (2023)
* [ReliTalk: Relightable Talking Portrait Generation from a Single Video](https://huggingface.co/papers/2309.02434) (2023)
* [AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections](https://huggingface.co/papers/2309.02186) (2023)
* [Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis](https://huggingface.co/papers/2309.16859) (2023)
* [Learning Disentangled Avatars with Hybrid 3D Representations](https://huggingface.co/papers/2309.06441) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2309.11197 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning](https://huggingface.co/papers/2309.08708) (2023)
* [Do Generative Large Language Models need billions of parameters?](https://huggingface.co/papers/2309.06589) (2023)
* [XGen-7B Technical Report](https://huggingface.co/papers/2309.03450) (2023)
* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)
* [RecycleGPT: An Autoregressive Language Model with Recyclable Module](https://huggingface.co/papers/2308.03421) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
End of preview. Expand
in Dataset Viewer.
No dataset card yet
Contribute a Dataset Card- Downloads last month
- 521
Size of downloaded dataset files:
3.93 MB
Size of the auto-converted Parquet files:
26.6 MB
Number of rows:
3,102