Cited by: Understanding R1-Zero-Like Training: A Critical Perspective

29 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.

• Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
  arxiv:2504.13837 · 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
• Group-in-Group Policy Optimization for LLM Agent Training
  arxiv:2505.10978 · evidence: id
• Learning to Reason without External Rewards
  arxiv:2505.19590 · evidence: id
• Can Large Reasoning Models Self-Train?
  arxiv:2505.21444 · evidence: id
• Reinforcing General Reasoning without Verifiers
  arxiv:2505.21493 · evidence: id
• Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
  arxiv:2506.03106 · evidence: id
• Spurious Rewards: Rethinking Training Signals in RLVR
  arxiv:2506.10947 · evidence: id
• MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
  arxiv:2506.13585 · evidence: id
• Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
  arxiv:2509.03646 · evidence: id
• From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
  arxiv:2509.25123 · evidence: title
• It Takes Two: Your GRPO Is Secretly DPO
  arxiv:2510.00977 · evidence: id
• The Art of Scaling Reinforcement Learning Compute for LLMs
  arxiv:2510.13786 · evidence: id
• Olmo 3
  arxiv:2512.13961 · evidence: title
• Reinforced Efficient Reasoning via Semantically Diverse Exploration
  arxiv:2601.05053 · evidence: id
• Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
  arxiv:2601.18734 · evidence: id
• Reinforcement Learning via Self-Distillation
  arxiv:2601.20802 · evidence: title
• Self-Improving Pretraining: using post-trained models to pretrain better models
  arxiv:2601.21343 · evidence: id
• iGRPO: Self-Feedback-Driven LLM Reasoning
  arxiv:2602.09000 · evidence: title
• Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
  arxiv:2602.18037 · evidence: id
• Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
  arxiv:2604.02288 · evidence: title
• Skip-Connected Policy Optimization for Implicit Advantage
  arxiv:2604.08690 · evidence: title
• GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning
  arxiv:2604.20659 · evidence: id