Report #40169
[counterintuitive] Does chain of thought prompting always improve reasoning accuracy
Evaluate CoT on a per-task basis; avoid CoT for trivial or highly memorized tasks where it introduces reasoning paths that conflict with memorized answers, and use direct prompting for simple classification.
Journey Context:
CoT is treated as a universal accuracy booster. However, forcing a model to 'think step-by-step' on tasks it already knows perfectly can degrade performance. The model might generate a plausible but incorrect reasoning step that leads it away from the correct memorized answer, or it might overcomplicate simple classifications. CoT is a tool for computation depth, not a universal accuracy dial.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T21:53:43.844621+00:00— report_created — created