Do Multimodal Large Language Models Have “Good Taste”? An Evaluation of MLLMs via the Visual Aesthetic Sensitivity Test

Yi Yao, Qiu Zhuang


Anthology ID:
2025.paclic-1.37
Volume:
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2025
Address:
Hanoi, Vietnam
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
413–418
Language:
URL:
https://aclanthology.org/2025.paclic-1.37/
DOI:
Bibkey:
Cite (ACL):
Yi Yao and Qiu Zhuang. 2025. Do Multimodal Large Language Models Have “Good Taste”? An Evaluation of MLLMs via the Visual Aesthetic Sensitivity Test. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 413–418, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Do Multimodal Large Language Models Have “Good Taste”? An Evaluation of MLLMs via the Visual Aesthetic Sensitivity Test (Yao & Zhuang, PACLIC 2025)
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PDF:
https://aclanthology.org/2025.paclic-1.37.pdf