Comments (1)
Thank you for your question.
- The
demos
data consists of demonstrations (in-context learning) for the Atomic Fact Generator. So it's part of the data the model uses, rather than being used as the test data. Annotations in the demos data are written by humans. - We are validating each atomic fact based on the Wikipedia article about the subject. Thus, retrieval is restricted to this single article. Please refer to the Implementation details in 4.1.2 of the paper. It is possible to relax this restriction but we empirically found this to be working better.
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Related Issues (15)
- Improving logging, show different levels
- Better ranking between models HOT 1
- MAX_LENGTH is not defined in retrieval HOT 2
- License?
- Donβt understand how true_score and false_score are represented in logits HOT 1
- Move abstain detection outside the atomic fact generator
- FActScore can be slow to run
- Having issues on using LLAMA-7B model HOT 2
- Scoring existing generated text HOT 1
- estimated cost for API before running API HOT 1
- Add citation / bibtex to README HOT 1
- Create HF weight diffs for LLAMA model and add it to the README
- improve processing of Perplexity AI outputs HOT 2
- Return respond rate and number of facts together with FActScore HOT 1
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