OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
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.
Authors
- Haodong Duan (ORCID: https://orcid.org/0000-0002-3052-4177)
- Steven X. Ding (ORCID: https://orcid.org/0000-0002-5149-5918)
- Wei‐Yun Wang (ORCID: https://orcid.org/0000-0002-9783-3302)
- Haian Huang
- Wenhai Wang (ORCID: https://orcid.org/0000-0003-3707-6546)
- Guangtao Zhai (ORCID: https://orcid.org/0000-0001-8165-9322)
- Xinyu Fang (ORCID: https://orcid.org/0000-0001-6337-8009)
- Jiaqi Wang (ORCID: https://orcid.org/0000-0001-6066-5192)
- Kai Chen (ORCID: https://orcid.org/0009-0002-9164-2780)
- Zicheng Zhang (ORCID: https://orcid.org/0000-0002-7247-7938)
- Hua Yang (ORCID: https://orcid.org/0000-0002-6229-8944)
- Xiangyu Zhao (ORCID: https://orcid.org/0000-0002-4468-5529)
- Maosongcao Maosongcao
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-long.906
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality