2 papers
cs.CV2024
Evaluating Attribute Comprehension in Large Vision-Language Models
Haiwen Zhang, Zixi Yang, Yuanzhi Liu +4
Currently, large vision-language models have gained promising progress on many downstream tasks. However, they still suffer many challenges in fine-grained visual understanding tas…
cs.CL2024
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
Zheqi He, Xinya Wu, Pengfei Zhou +5
Multi-modal large language models(MLLMs) have achieved remarkable progress and demonstrated powerful knowledge comprehension and reasoning abilities. However, the mastery of domain…