T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Weilong Dai, Hao Jiang, Fei Wu, Leilei Gan. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Authors
- Ziwei Huang (ORCID: https://orcid.org/0000-0003-1767-1399)
- Fei Wu (ORCID: https://orcid.org/0000-0003-2139-8807)
- Wanggui He
- Fangxun Shu
- Hao Jiang (ORCID: https://orcid.org/0000-0002-3355-0063)
- Leilei Gan (ORCID: https://orcid.org/0000-0001-5859-2588)
- Zhelun Yu
- Haoyuan Li (ORCID: https://orcid.org/0009-0007-4678-9923)
- Qian Long (ORCID: https://orcid.org/0000-0002-8059-2936)
- Weilong Dai (ORCID: https://orcid.org/0009-0006-9288-932X)
- Yandi Wang (ORCID: https://orcid.org/0009-0004-4509-0609)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-long.1334
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.61