Papers

• EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents (2025)
  Rui Yang et al.
  1.28
• MM-IFEngine: Towards Multimodal Instruction Following (2025)
  Shengyuan Ding et al.
  1.28
• UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation (2025)
  Linshan Wu et al.
  1.28
• Visual Agentic Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning (2025)
  Ye Liu et al.
  1.28
• 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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• OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation (2024)
  Kepan Nan et al.
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• LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models (2024)
  Kaichen Zhang et al.
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• VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI (2024)
  Sijie Cheng et al.
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• Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition (2024)
  Zhisheng Zhong et al.
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• GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training (2024)
  Renqiu Xia et al.
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