OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement
Paper
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2503.17352
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Published
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23
VLM RL Reasoning
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When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
Paper • 2503.16660 • Published • 73 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
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MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
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Qwen2.5-Omni Technical Report
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ViLBench: A Suite for Vision-Language Process Reward Modeling
Paper • 2503.20271 • Published • 7 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 78 -
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Paper • 2504.02587 • Published • 30 -
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
Paper • 2504.07934 • Published • 17