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Collections including paper arxiv:2506.16035

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Papers of interest

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

rag-document-parsing

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 243 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18 • 4
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 141
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88
RecGPT Technical Report

Paper • 2507.22879 • Published Jul 30 • 37

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis

Paper • 2505.10046 • Published May 15 • 9
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 238
Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers

Paper • 2507.10787 • Published Jul 14 • 12

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
ReZero: Enhancing LLM search ability by trying one-more-time

Paper • 2504.11001 • Published Apr 15 • 15
Retrieval-Augmented Generation with Conflicting Evidence

Paper • 2504.13079 • Published Apr 17 • 6
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes

Paper • 2504.11544 • Published Apr 15 • 44

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Papers of interest

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

rag-document-parsing

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88
RecGPT Technical Report

Paper • 2507.22879 • Published Jul 30 • 37

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 243 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis

Paper • 2505.10046 • Published May 15 • 9
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 238
Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers

Paper • 2507.10787 • Published Jul 14 • 12

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Paper • 2503.14734 • Published Mar 18 • 4
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Paper • 2401.02117 • Published Jan 4, 2024 • 33
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 141
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
ReZero: Enhancing LLM search ability by trying one-more-time

Paper • 2504.11001 • Published Apr 15 • 15
Retrieval-Augmented Generation with Conflicting Evidence

Paper • 2504.13079 • Published Apr 17 • 6
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes

Paper • 2504.11544 • Published Apr 15 • 44

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