[NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
$ git clone https://github.com/MMStar-Benchmark/MMStar.git▲ +1 ★ this week
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
Embed arbitrary modalities (images, audio, documents, etc) into large language models.
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
Data and code for paper "M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models"
▲ +295 ★ this week
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Data from GitHub · snapshot Nov 13, 2026