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.

• GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
  arxiv:2507.19457 · evidence: id
• On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
  arxiv:2508.05629 · evidence: id
• Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
  arxiv:2508.07629 · evidence: title
• On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
  arxiv:2508.11408 · evidence: id
• CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
  arxiv:2509.09675 · evidence: id
• Single-stream Policy Optimization
  arxiv:2509.13232 · evidence: id
• Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
  arxiv:2509.14234 · 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
• Representation-Based Exploration for Language Models: From Test-Time to Post-Training
  arxiv:2510.11686 · evidence: id
• The Art of Scaling Reinforcement Learning Compute for LLMs
  arxiv:2510.13786 · evidence: id
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
  arxiv:2511.07317 · evidence: id
• Soft Adaptive Policy Optimization
  arxiv:2511.20347 · evidence: id
• ESPO: Entropy Importance Sampling Policy Optimization
  arxiv:2512.00499 · evidence: id
• SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
  arxiv:2512.02807 · evidence: title
• Olmo 3
  arxiv:2512.13961 · evidence: id
• Propose, Solve, Verify: Self-Play Through Formal Verification
  arxiv:2512.18160 · evidence: id
• Reinforced Efficient Reasoning via Semantically Diverse Exploration
  arxiv:2601.05053 · evidence: id
• Dr. Zero: Self-Evolving Search Agents without Training Data
  arxiv:2601.07055 · evidence: id
• Towards Execution-Grounded Automated AI Research
  arxiv:2601.14525 · evidence: title
• 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: id
• Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
  arxiv:2601.20861 · evidence: id
• Self-Improving Pretraining: using post-trained models to pretrain better models
  arxiv:2601.21343 · evidence: id