Cited by: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
67 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.
- iGRPO: Self-Feedback-Driven LLM Reasoning
arxiv:2602.09000· evidence: id - 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: id - Skip-Connected Policy Optimization for Implicit Advantage
arxiv:2604.08690· evidence: id - Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
arxiv:2604.13016· evidence: id - Structured Scaling of AI Discovery Across Diverse Scientific Domains
arxiv:2604.19341· evidence: id - GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning
arxiv:2604.20659· evidence: id - Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
arxiv:2605.06241· evidence: id - Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
arxiv:2605.12969· evidence: id - From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
arxiv:2605.22074· evidence: id - Weight-Space Geometry of Offline Reasoning Training
arxiv:2606.23740· evidence: id - When Does Continual Learning Require Learning
arxiv:2607.07847· evidence: id - Latent On-Policy Self-Distillation
arxiv:2608.13040· evidence: id - SPADE: Self-Play in Adaptive Synthetic Executable Environments
arxiv:2608.19197· evidence: id - TTPO: Test-Time Policy Optimization
arxiv:2608.27448· evidence: id - Recursive Self-Improvement via On-Policy Distillation for Reasoning
arxiv:2609.30652· evidence: title - RLTL;DR: Self-improvement by Internalizing Self-generated Feedback
arxiv:2609.37633· evidence: id - GRPO++: Tricks for Making RL Actually Work (Cameron Wolfe)
url:cameronrwolfe.substack.com/p/grpo-tricks· evidence: id - LoRA Without Regret (Thinking Machines)
url:thinkingmachines.ai/blog/lora· evidence: id