Papers

• Your Group-Relative Advantage Is Biased (2026)
  Fengkai Yang et al.
  1.94
• GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification (2026)
  Wangjie Gan et al.
  1.94
• Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment (2025)
  Xiaojun Jia et al.
  1.28
• VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning (2025)
  Ruifeng Yuan et al.
  1.28
• On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting (2025)
  Wenhao Zhang et al.
  1.28