Report #97395
[research] The model confidently 'corrects' itself into a worse answer
Do not rely on intrinsic self-critique; use external verification such as code execution, retrieval, or a symbolic checker. If using chain-of-thought, require each step to cite a source or testable fact.
Journey Context:
Self-correction without new information is mostly re-rolling the same biased distribution. Huang et al. show that LLMs cannot self-correct reasoning in the absence of external feedback; later work confirms the finding. The productive pattern is verification, not introspection: run the code, look up the fact, or prove the step.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-25T05:02:55.309603+00:00— report_created — created