Papers

• RAGEN-2: Reasoning Collapse in Agentic RL (2026)
  Zihan Wang 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
• Delta Attention Residuals (2026)
  Cheng Luo et al.
  1.94
• STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability (2026)
  Haipeng Luo et al.
  1.94
• EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory (2026)
  Chang Nie et al.
  1.94
• DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization (2026)
  Jian Mu et al.
  1.89
• Stabilizing Reinforcement Learning for Diffusion Language Models (2026)
  Jianyuan Zhong et al.
  1.78
• Online Causal Kalman Filtering for Stable and Effective Policy Optimization (2026)
  Shuo He et al.
  1.72
• ARM: Adaptive Reasoning Model (2025)
  Siye Wu et al.
  1.28
• CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning (2025)
  Wenqiao Zhu et al.
  1.28
• RewardDance: Reward Scaling in Visual Generation (2025)
  Jie Wu et al.
  1.28
• Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective (2025)
  Siwei Wang et al.
  1.28
• Epistemic Diversity and Knowledge Collapse in Large Language Models (2025)
  Dustin Wright et al.
  1.28
• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models (2025)
  Qizheng Zhang et al.
  1.28
• Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models (2025)
  Yongding Tao et al.
  1.28
• UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning (2025)
  Liangyu Chen et al.
  1.28
• Hyper-Connections (2024)
  Defa Zhu et al.
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• How to Synthesize Text Data without Model Collapse? (2024)
  Xuekai Zhu et al.
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