LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?

LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? Yuchi Wang author Shuhuai Ren author Rundong Gao author Linli Yao author Qingyan Guo author Kaikai An author Jianhong Bai author Xu Sun author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication wang-etal-2024-ladic 10.18653/v1/2024.naacl-long.373 https://aclanthology.org/2024.naacl-long.373/ 2024-06 6699 6715