RaptorMai / CompBench

[NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes

Date Created 2024-07-23 (8 months ago)

Commits 5 (last one 2 days ago)

Stargazers 36 (0 this week)

Watchers 1 (0 this week)

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RepositoryStats indexes 632,768 repositories, of these RaptorMai/CompBench is ranked #568,245 (10th percentile) for total stargazers, and #556,814 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,266/19,048.

RaptorMai/CompBench is also tagged with popular topics, for these it's ranked: large-language-models (#1,065/1230), benchmark (#756/824), llms (#577/680)

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Homepage URL: https://compbench.github.io/

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llms benchmark reasoning neurips-2024 evaluation-llms human-annotation foundation-models llms-benchmarking vision-and-language large-language-models vision-language-model multimodal-deep-learning multimodal-large-language-models

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updated: 2025-03-26 @ 01:14pm, id: 832776533 / R_kgDOMaMpVQ