Cites: Can Large Reasoning Models Self-Train?

12 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.

• Self-Consistency Improves Chain of Thought Reasoning in Language Models
  arxiv:2203.11171 · evidence: title
• Self-Refine: Iterative Refinement with Self-Feedback
  arxiv:2303.17651 · evidence: title
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• Transcendence: Generative Models Can Outperform The Experts That Train Them
  arxiv:2406.11741 · evidence: title
• The Llama 3 Herd of Models
  arxiv:2407.21783 · evidence: id
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  arxiv:2503.14476 · evidence: id
• Understanding R1-Zero-Like Training: A Critical Perspective
  arxiv:2503.20783 · evidence: id
• TTRL: Test-Time Reinforcement Learning
  arxiv:2504.16084 · evidence: id
• Reinforcement Learning for Reasoning in Large Language Models with One Training Example
  arxiv:2504.20571 · evidence: id
• Learning to Reason without External Rewards
  arxiv:2505.19590 · evidence: id
• Spurious Rewards: Rethinking Training Signals in RLVR
  arxiv:2506.10947 · evidence: id
• Group Sequence Policy Optimization
  arxiv:2507.18071 · evidence: id