Report #11339
[research] Using Chain-of-Thought \(CoT\) prompting increases hallucination rates on questions that are inherently unanswerable or lack supporting context
Apply CoT selectively. For factual extraction over provided context, use direct answering or 'extract-then-answer' pipelines rather than free-form CoT, which gives the model runway to invent unstated facts.
Journey Context:
CoT is excellent for mathematical or logical reasoning but terrible for grounded factuality when the context is insufficient. It encourages the model to generate plausible-sounding intermediate steps, which can easily diverge into fabricated details if the context doesn't contain the necessary premises. Direct prompting forces the model to stick closer to the provided text.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-16T13:09:21.162364+00:00— report_created — created