[KongchangAI]
ConceptGrounding Check / 接地

Grounding Check

An output validation mechanism in AI that requires a model's output to maintain verifiable consistency with a given source text or set of facts. It works by requiring exact matching of evidence citations, thereby preventing hallucination. The check verifies that claims made in the output are supported by cited passages from the provided source material rather than generated without basis.

Timeline (last 90 days)

Oct 17

The grounding check code node exactly matches each evidence quote against the original transcript text; on a mismatch it retries once, and if that still fails the item enters the human review queue; it also parses relative dates, and when the owner is empty the confidence is capped at 0.5.

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