Cited by: Scaling Laws for Reward Model Overoptimization
7 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.
- Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
arxiv:2412.14135· evidence: title - DAPO: An Open-Source LLM Reinforcement Learning System at Scale
arxiv:2503.14476· evidence: title - Learning to Reason without External Rewards
arxiv:2505.19590· evidence: title - Reinforcing General Reasoning without Verifiers
arxiv:2505.21493· evidence: title - Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
arxiv:2506.03106· evidence: title - Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
arxiv:2602.18037· evidence: title - Structured Scaling of AI Discovery Across Diverse Scientific Domains
arxiv:2604.19341· evidence: title