Papers

• OCR-Agent: Agentic OCR with Capability and Memory Reflection (2026)
  Shimin Wen et al.
  1.94
• PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents (2026)
  Bihui Yu et al.
  1.89
• PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback (2025)
  Kanika Goswami et al.
  1.28
• Introducing Visual Perception Token into Multimodal Large Language Model (2025)
  Runpeng Yu et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• When Words Outperform Vision: VLMs Can Self-Improve Via Text-Only Training For Human-Centered Decision Making (2025)
  Zhe Hu et al.
  1.28
• Visual Agentic Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs (2025)
  Zongzhao Li et al.
  1.28
• Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models (2025)
  Weihao Xuan et al.
  1.28
• Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? (2025)
  Junhao Cheng et al.
  1.28
• Play to Generalize: Learning to Reason Through Game Play (2025)
  Yunfei Xie et al.
  1.28
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025)
  Weiyun Wang et al.
  1.28
• Visual Representation Alignment for Multimodal Large Language Models (2025)
  Heeji Yoon et al.
  1.28
• Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding (2025)
  Lin Long et al.
  1.28
• RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning (2025)
  Sicheng Feng et al.
  1.28
• PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments (2025)
  Weijie Zhou et al.
  1.28
• V-Thinker: Interactive Thinking with Images (2025)
  Runqi Qiao et al.
  1.28
• VQ-VA World: Towards High-Quality Visual Question-Visual Answering (2025)
  Chenhui Gou et al.
  1.28
• World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models (2025)
  Eunsu Kim et al.
  1.28
• ORES: Open-vocabulary Responsible Visual Synthesis (2023)
  Minheng Ni et al.
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• Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases (2023)
  Zhangyang Qi et al.
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• Visual Haystacks: Answering Harder Questions About Sets of Images (2024)
  Tsung-Han Wu et al.
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• VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos (2024)
  Shehan Munasinghe et al.
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• NVILA: Efficient Frontier Visual Language Models (2024)
  Zhijian Liu et al.
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