shmsw25 / FActScore

A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

Date Created 2023-05-22 (about a year ago)

Commits 61 (last one 6 months ago)

Stargazers 225 (1 this week)

Watchers 4 (0 this week)

Forks 28

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these shmsw25/FActScore is ranked #152,823 (71st percentile) for total stargazers, and #351,116 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #26,108/100,813.

shmsw25/FActScore is also tagged with popular topics, for these it's ranked: language (#317/693)

Other Information

shmsw25/FActScore has 2 open pull requests on Github, 10 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 14 open issues and 19 closed issues.

There have been 3 releases, the latest one was published on 2023-10-14 (7 months ago) with the name Custom retrieval corpus support, FActScore is now published at EMNLP!.

Homepage URL: https://arxiv.org/abs/2305.14251

All Topics

language emnlp2023 evaluation factuality language-modeling

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61 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-05-31 @ 06:49pm, id: 644105792 / R_kgDOJmRGQA