Papers

• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery (2026)
  Shangheng Du et al.
  1.94
• The Role of Feedback Alignment in Self-Distillation (2026)
  Semih Kara et al.
  1.94
• Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation (2026)
  Sihan Wang et al.
  1.94
• DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization (2026)
  Jian Mu et al.
  1.89
• Reinforcement Learning via Value Gradient Flow (2026)
  Haoran Xu et al.
  1.83
• MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models (2025)
  Hang Hua et al.
  1.28
• ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models (2025)
  Mingjie Liu et al.
  1.28
• FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models (2025)
  Zheng Chong et al.
  1.28
• Towards a Unified View of Large Language Model Post-Training (2025)
  Xingtai Lv et al.
  1.28
• RewardDance: Reward Scaling in Visual Generation (2025)
  Jie Wu et al.
  1.28
• GCPO: When Contrast Fails, Go Gold (2025)
  Hao Wu et al.
  1.28
• VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM (2024)
  Fuchen Long et al.
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• MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation (2024)
  Kunpeng Song et al.
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• Iterative Graph Alignment (2024)
  Fangyuan Yu et al.
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• SePPO: Semi-Policy Preference Optimization for Diffusion Alignment (2024)
  Daoan Zhang et al.
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• EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM (2024)
  Zhuofan Zong et al.
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