Knowledge

ClashEval

ClashEval: quantifying the tug-of-war between an LLM's internal prior and external (retrieved) evidence. Each QA item is answered twice — closed-book (prior) and with a perturbed reference passage (post) whose gold answer has been mutated. Responses are binary correctness against the true answer across six domains (drug dosages, Olympic records, names, locations, dates, news).

11,143items
6subjects
MITlicense
knowledgedomain
safetydomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

ClashEval response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1Claude 3 Opus0.4609
  2. 2GPT-4o0.3966
  3. 3Claude 3 Sonnet0.3508
  4. 4GPT-3.50.2814
  5. 5Gemini 1.5 Flash0.264
  6. 6Llama-3-8B-Instruct0.2173