Information Retrieval and Retrieval-Augmented Generation
Jurafsky & Martin, Speech and Language Processing, 3rd ed. draft, ch. 11
1 cards in “11.6 Evaluating question answering” · whole deck
11.6 Evaluating question answering
- How are question-answering systems evaluated?Multiple-choice (e.g. MMLU): exact match, the % of predictions matching the gold answer exactly. Free-text answers (e.g. Natural Questions): token F1, treating prediction and gold as bags of tokens, computing F1 per question and averaging.
- Jurafsky & Martin, Speech and Language Processing, 3rd ed. draft, ch. 11, §11.6, p. 271
Source
- Daniel Jurafsky and James H. Martin. Speech and Language Processing. 3rd edition (draft). https://web.stanford.edu/~jurafsky/slp3/