Work

OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference

Year: 2025

Type: conference-paper

Abstract: Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosongcao Maosongcao, Jiaqi Wang, Weiyun Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Hua Yang, Haodong Duan, Kai Chen. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.906

Authors: Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosongcao Maosongcao, Jiaqi Wang, Weiyun Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Hua Yang, Haodong Duan, Kai Chen

Institutions: Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory, Nanjing University, Fudan University, Zhejiang University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G418946944, G4584818147, G5336235484, G8721642152, G8729771840

OpenAlex ID: W4412944953

FWCI: 5.294

Cites:

Cited by: 5

Related to: 10