Papers

• Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? (2025)
  Yancheng He et al.
  1.22
• HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs (2025)
  Tin Nguyen et al.
  1.22
• Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2025)
  Yi Peng et al.
  1.22
• QFFT, Question-Free Fine-Tuning for Adaptive Reasoning (2025)
  Wanlong Liu et al.
  1.22
• Compressing Chain-of-Thought in LLMs via Step Entropy (2025)
  Zeju Li et al.
  1.22
• CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning (2025)
  Wenqiao Zhu et al.
  1.22
• GRPO-MA: Multi-Answer Generation in GRPO for Stable and Efficient Chain-of-Thought Training (2025)
  Hongcheng Wang et al.
  1.22
• ReFT: Reasoning with Reinforced Fine-Tuning (2024)
  Trung Quoc Luong et al.
  —
• Building Math Agents with Multi-Turn Iterative Preference Learning (2024)
  Wei Xiong et al.
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