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Collections including paper arxiv:2410.15735

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

about 12 hours ago

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3 • 31
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17 • 25
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17 • 21

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

Training and finetune

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published 17 days ago • 42
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published 22 days ago • 30
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2 • 24

papers to reading

about 10 hours ago

FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors

Paper • 2410.16271 • Published 17 days ago • 80
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 20 days ago • 47
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Paper • 2410.16268 • Published 17 days ago • 65
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

about 7 hours ago

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16 • 37
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17 • 5
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17 • 21
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16 • 11

Spaces of Interest

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 17 days ago • 54

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