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

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LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?. Retrieved May 24, 2026, from https://4ort.xyz/entity/ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation
MLA “LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation.
BibTeX @misc{4ortxyz_ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?}}, year = {2026}, url = {https://4ort.xyz/entity/ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? — https://4ort.xyz/entity/ladic-are-diffusion-models-really-inferior-to-autoregressive-counterparts-for-image-to-text-generation (retrieved 2026-05-24)

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