The summary report

  • The run produces a report summarizing all evaluations; the dataset below it shows the added per-row scores (the report can be hidden). 7:37 8:18
  • Findings:
    • LLM-judged "Decline" evaluation: 1 denial found. 7:37
    • Semantic similarity: all values above 0.78, so no answer is completely irrelevant or unrelated. 7:37
    • Text length: 1 unusually long answer worth checking. 7:59
    • Regex-based denial check: also flagged 1 denial. 7:59

Drilling into individual rows

  • The LLM-judge denial is a genuine one: the model declined because the question was about medication — arguably desirable behavior (no medical advice) — and the judge provides an explanation for its label. 8:34
  • The too-long response looks almost as if it was copied from some document — flagged as worth investigating. 8:53
  • The regex check correctly detected the same denial as the LLM judge because the answer contained the word "cannot" ("I cannot provide specific answer"). 8:53

Key comparison

  • Regex-based denial detection worked here, but it will not generalize as well as an LLM judge. 9:21