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 (6 months ago)

Commits 53 (last one 8 days ago)

Stargazers 102 (0 this week)

Watchers 1 (0 this week)

Forks 6

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these OpenGVLab/MM-NIAH is ranked #288,330 (51st percentile) for total stargazers, and #539,476 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #53,395/117,584.

OpenGVLab/MM-NIAH is also tagged with popular topics, for these it's ranked: benchmark (#426/764)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-11-26 @ 08:46am, id: 810632597 / R_kgDOMFFFlQ