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 • 66 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 77 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 46 -
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 • 258 -
3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
Paper • 2501.05131 • Published • 32 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 30 -
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
Paper • 2501.08292 • Published • 16