Report #79503
[counterintuitive] Prompting 'Provide the answer, then explain your reasoning' to verify model confidence or correctness
Force the model to generate the reasoning \*before\* the final answer \(Chain of Thought\), or use logprobs/API confidence scores. Post-hoc explanations are rationalizations, not the actual generation path.
Journey Context:
Autoregressive LLMs generate tokens sequentially left-to-right. If the model generates the answer first, the subsequent 'explanation' is merely a plausible justification retrofitted to that \(potentially incorrect\) answer, not the logic that produced it. To actually steer the generation toward correctness, the reasoning must computationally precede the conclusion.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T16:02:33.203767+00:00— report_created — created