IAAR-Shanghai / ICSFSurvey

A comprehensive survey on Internal Consistency and Self-Feedback in Large Language Models.

Date Created 2024-06-01 (3 months ago)

Commits 27 (last one 9 days ago)

Stargazers 147 (68 this week)

Watchers 2 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 565,279 repositories, of these IAAR-Shanghai/ICSFSurvey is ranked #219,423 (61st percentile) for total stargazers, and #467,523 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,135/16,285.

IAAR-Shanghai/ICSFSurvey is also tagged with popular topics, for these it's ranked: large-language-models (#492/981)

Other Information

IAAR-Shanghai/ICSFSurvey has Github issues enabled, there are 5 open issues and 0 closed issues.

There have been 2 releases, the latest one was published on 2024-09-19 (9 days ago) with the name Paper v3.0.

Homepage URL: https://arxiv.org/abs/2407.14507

All Topics

decoding reasoning self-refine self-correct hallucination self-feedback attention-head self-correction chain-of-thought self-consistency self-improvement data-augmentation preference-learning internal-consistency large-language-model large-language-models knowledge-distillation

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27 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-29 @ 05:15am, id: 808947743 / R_kgDOMDeQHw