M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper
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2411.04952
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Published
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28
Methods
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Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 16 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 17 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 67 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 90 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 53 -
Evaluating Sample Utility for Data Selection by Mimicking Model Weights
Paper • 2501.06708 • Published • 5 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 273 -
3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
Paper • 2501.05131 • Published • 34 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 31 -
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
Paper • 2501.08292 • Published • 17 -
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation
Paper • 2502.01068 • Published • 14 -
Improving Transformer World Models for Data-Efficient RL
Paper • 2502.01591 • Published • 9 -
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 34 -
Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation
Paper • 2501.17433 • Published • 8