knowledge-qa

Concise knowledge QA answers avoid fabrication by using a fixed template that delivers direct conclusions first, then flags unverified data with explicit uncertainty tags like [需要确认] instead of guessing.

Marking uncertainty in factual knowledge responses uses explicit [需要确认] tags within a structured template, clearly separating unverified assumptions from verified conclusions to prevent hallucination.

Structure factual Q&A outputs for reproducibility by applying a fixed template featuring a direct conclusion followed by context, and using consistent uncertainty markers like [需要确认] to flag unknowns across domains.

Yes, this structured knowledge QA approach works for policy questions by providing direct conclusions, explaining context, and explicitly indicating assumptions or uncertainties using [需要确认] markers to ensure verifiable answers.

Knowledge Q&A outputs include fluff instead of direct conclusions when not following an answer-first protocol; applying a structured template forces delivering the direct conclusion immediately before providing explanatory context.