Papers

• Building a Precise Video Language with Human-AI Oversight (2026)
  Zhiqiu Lin et al.
  1.94
• ViPO: Visual Preference Optimization at Scale (2026)
  Ming Li et al.
  1.83
• DPO-Shift: Shifting the Distribution of Direct Preference Optimization (2025)
  Xiliang Yang et al.
  1.28
• IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)
  Jie Wu et al.
  1.28
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• The Aloe Family Recipe for Open and Specialized Healthcare LLMs (2025)
  Dario Garcia-Gasulla et al.
  1.28
• Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning (2025)
  Shuyao Xu et al.
  1.28
• CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation (2025)
  Yuwei Du et al.
  1.28
• Ovis2.5 Technical Report (2025)
  Shiyin Lu et al.
  1.28
• DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning (2025)
  Yifan Wang et al.
  1.28
• Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models (2024)
  Guanting Dong et al.
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• Qwen2-Audio Technical Report (2024)
  Yunfei Chu et al.
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• xGen-MM (BLIP-3): A Family of Open Large Multimodal Models (2024)
  Le Xue et al.
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• Building Math Agents with Multi-Turn Iterative Preference Learning (2024)
  Wei Xiong et al.
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• MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models (2024)
  Ziyu Liu et al.
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