Structure Enables Effective Self-Localization of Errors in LLMs

ArXi:2602.02416v2 Announce Type: replace Self-correction in language models remains elusive. In this work, we explore whether language models can explicitly localize errors in incorrect reasoning, as a path toward building AI systems that can effectively correct themselves. We