Cited by: Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
21 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.
- 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 - Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
arxiv:2506.01939· evidence: id - Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
arxiv:2506.03106· evidence: id - Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
arxiv:2506.06632· evidence: id - Unsupervised Elicitation of Language Models
arxiv:2506.10139· evidence: id - Spurious Rewards: Rethinking Training Signals in RLVR
arxiv:2506.10947· evidence: id - On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
arxiv:2508.11408· evidence: id - Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
arxiv:2509.14234· evidence: title - 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 - Representation-Based Exploration for Language Models: From Test-Time to Post-Training
arxiv:2510.11686· evidence: id - Reasoning with Sampling: Your Base Model is Smarter Than You Think
arxiv:2510.14901· evidence: id - Olmo 3
arxiv:2512.13961· evidence: id - Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
arxiv:2601.11061· evidence: id - Towards Execution-Grounded Automated AI Research
arxiv:2601.14525· evidence: title - Self-Distillation Enables Continual Learning
arxiv:2601.19897· evidence: id - Reinforcement Learning via Self-Distillation
arxiv:2601.20802· evidence: title - Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
arxiv:2605.06241· evidence: id - From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
arxiv:2605.22074· evidence: id - Recirculation
arxiv:2608.17981· evidence: title - RLTL;DR: Self-improvement by Internalizing Self-generated Feedback
arxiv:2609.37633· evidence: id