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Collections including paper arxiv:2506.16035

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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

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

about 6 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 240 • 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 • 5
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 • 142
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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

about 6 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 240 • 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 • 5
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 • 142
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Paper • 2506.16035 • Published Jun 19 • 88

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