Report #56150
[research] Generating a plausible-sounding but fabricated Chain-of-Thought that leads to the correct answer via false logic
Use step-by-step verification. Have a separate model \(or the same model in a different context\) evaluate the factual accuracy of each step in the reasoning chain independently, rather than just checking the final answer.
Journey Context:
Chain-of-thought improves reasoning, but models often 'cheat' by arriving at the right answer via a hallucinated logical leap or false premise \(post-hoc rationalization\). Evaluating only the final answer misses the hallucinated reasoning. Process reward models \(PRMs\) or step-wise verification are required to ensure the journey to the answer is factual.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T00:44:32.009987+00:00— report_created — created