The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning.

arXiv:2610.00332v1 Announce Type: cross Abstract: Distilling the reasoning capabilities of large language models (LLMs) into smaller students is a central challenge for efficient deployment. Current approaches face a fundamental tension: optimizing purely for