Papers

• Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation (2025)
  Xin Zhang et al.
  6.34
• MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods (2026)
  Honglin Lin et al.
  1.94
• Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders (2026)
  Boqiang Zhang et al.
  1.94
• The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm (2026)
  Karan Goyal
  1.94
• HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers (2026)
  Guozhen Zhang et al.
  1.94
• Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning (2026)
  Jiayi Lei et al.
  1.94
• Introducing Visual Perception Token into Multimodal Large Language Model (2025)
  Runpeng Yu et al.
  1.28
• SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion (2025)
  Ahmed Nassar et al.
  1.28
• EfficientLLM: Efficiency in Large Language Models (2025)
  Zhengqing Yuan et al.
  1.28
• ImgEdit: A Unified Image Editing Dataset and Benchmark (2025)
  Yang Ye et al.
  1.28
• CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images (2025)
  Chengqi Duan et al.
  1.28
• HunyuanOCR Technical Report (2025)
  Hunyuan Vision Team et al.
  1.28
• LocalMamba: Visual State Space Model with Windowed Selective Scan (2024)
  Tao Huang et al.
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• InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD (2024)
  Xiaoyi Dong et al.
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• Mitigating Object Hallucination via Concentric Causal Attention (2024)
  Yun Xing et al.
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• Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input (2024)
  Francesco Taioli et al.
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