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

> Research article (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024) · cited 11× · AI/ML

**Wikidata**: [openalex:W4401043304](https://www.wikidata.org/wiki/openalex:W4401043304)  
**Source**: https://4ort.xyz/entity/ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation
