Papers

• ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents (2026)
  Hao Zhang et al.
  1.94
• N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (2026)
  Xukun Zhu et al.
  1.94
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• Phi-4-reasoning Technical Report (2025)
  Marah Abdin et al.
  1.28
• How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study (2025)
  Zhexin Zhang et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• DINGO: Constrained Inference for Diffusion LLMs (2025)
  Tarun Suresh et al.
  1.28
• Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem (2025)
  Yubo Wang et al.
  1.28
• STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models (2025)
  Cheng-Han Chiang et al.
  1.28
• ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning (2025)
  Shengyuan Ding et al.
  1.28
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification (2023)
  Aojun Zhou et al.
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• GPT Can Solve Mathematical Problems Without a Calculator (2023)
  Zhen Yang et al.
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• StarCoder 2 and The Stack v2: The Next Generation (2024)
  Anton Lozhkov et al.
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• Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems (2024)
  Tian Ye et al.
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