arXiv AI June 18, 2026 By Haoyang Fang, Wei Zhu, Boran Han, Alex Zhang, Zhenyu Pan, Shuo Yang, Shuai Zhang, Jiading Gai, Peng Tang, Cuixiong Hu, Xuan Zhu, Huzefa Rangwala, George Karypis, Bernie Wang

LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents

Read the original on arXiv AI →

arXiv:2606. 18388v1 Announce Type: cross Abstract: RL post-training strategies are dataset-dependent and reveal a recurring empirical pattern: capacity parameters accumulate monotonically across stages, while regularization parameters predominantly oscillate in response to shifting training dynamics.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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