Cited by: Reinforcement Learning for Reasoning in Large Language Models with One Training Example
14 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.
- TTRL: Test-Time Reinforcement Learning
arxiv:2504.16084· evidence: id - The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
arxiv:2505.15134· evidence: id - Can Large Reasoning Models Self-Train?
arxiv:2505.21444· evidence: id - Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
arxiv:2506.01939· evidence: id - Reinforcement Pre-Training
arxiv:2506.08007· evidence: title - Spurious Rewards: Rethinking Training Signals in RLVR
arxiv:2506.10947· evidence: id - Hierarchical Reasoning Model
arxiv:2506.21734· evidence: id - Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
arxiv:2507.12856· 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: 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 - Learning to Discover at Test Time
arxiv:2601.16175· evidence: id - iGRPO: Self-Feedback-Driven LLM Reasoning
arxiv:2602.09000· evidence: id - Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
arxiv:2605.06241· evidence: id