Fact Verification

A report is only as trustworthy as the sentence nobody checked. That sounds melodramatic until an LLM-generated due diligence note, policy memo, customer support answer, or compliance summary contains three correct facts and one quiet falsehood in the same paragraph. The usual fix is simple in theory: split the answer into smaller claims, retrieve evidence for each claim, let a verifier judge them, and aggregate the results. ...

A RAG system usually fails in one of two annoyingly familiar ways. It retrieves documents that are factually relevant but gives the model no clue about the task’s decision boundary. Or it retrieves labelled examples that show the decision pattern but are too parochial to help when the topic drifts. One source knows the world. The other knows the exam rubric. Naturally, many systems pick one and then pretend the compromise was strategy. ...