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Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction
Large language models struggle to reliably identify and correct errors in their own reasoning. Unlike prior training-based approaches that fine-tune an LLM to generate revisions or feedback, we learn where to intervene in failed rollouts and determine how to redirect them. To choose where to interve
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