Papers

• Unified Personalized Reward Model for Vision Generation (2026)
  Yibin Wang et al.
  1.94
• Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction (2026)
  Zhuofeng Li et al.
  1.94
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  1.94
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents (2023)
  Shilong Liu et al.
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• Silkie: Preference Distillation for Large Visual Language Models (2023)
  Lei Li et al.
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• Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (2024)
  Zixiang Chen et al.
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• RewardBench: Evaluating Reward Models for Language Modeling (2024)
  Nathan Lambert 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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