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Collections including paper arxiv:2411.09009

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12 • 15
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9 • 35
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9 • 69

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16 • 39
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 • 12

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines

Paper • 2408.01050 • Published Aug 2 • 8
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6 • 33
Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4 • 72
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance

Paper • 2409.04593 • Published Sep 6 • 23

Interesting Papers

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published 28 days ago • 64
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details

Paper • 2411.03047 • Published 27 days ago • 8
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D

Paper • 2411.02336 • Published 28 days ago • 23
GenXD: Generating Any 3D and 4D Scenes

Paper • 2411.02319 • Published 28 days ago • 20

Papers - Text - Fine-tuning - Loss - CCE - Triton

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

Papers - Fine-tuning - Memory Reduction Techniques - Text

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

Papers - Gemma 2 - Fine-tuning

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

Papers - Mistral - NeMo - Fine-tuning

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

Papers - Text - Training - Vocabulary Sorting

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

Papers - Text - Training - Gradient Filtering

Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published 19 days ago • 41

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