OpenGVLab / MM-NIAH

[NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents.

Date Created 2024-06-05 (3 months ago)

Commits 45 (last one 3 days ago)

Stargazers 78 (3 this week)

Watchers 1 (0 this week)

Forks 4

License unknown

Ranking

RepositoryStats indexes 565,600 repositories, of these OpenGVLab/MM-NIAH is ranked #335,180 (41st percentile) for total stargazers, and #521,698 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #62,132/111,362.

OpenGVLab/MM-NIAH is also tagged with popular topics, for these it's ranked: benchmark (#480/731)

Other Information

OpenGVLab/MM-NIAH has Github issues enabled, there is 1 open issue and 1 closed issue.

Homepage URL: https://mm-niah.github.io/

All Topics

benchmark long-context vision-language-model multimodal-large-language-models

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

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updated: 2024-09-29 @ 12:28pm, id: 810632597 / R_kgDOMFFFlQ