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resources.paperdigest.org·há 11 meses

Most Influential NAACL Papers (2025-09 Version)

The North American Chapter of the Association for Computational Linguistics (NAACL) is one of the top natural language processing conferences in the world. Paper Digest Team analyzes all papers publis

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Paper Digest: NAACL 2025 Papers & Highlights

The North American Chapter of the Association for Computational Linguistics (NAACL) is one of the top natural language processing conferences in the world. To help the community quickly catch up on th

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Most Influential NAACL Papers (2025-03 Version)

The North American Chapter of the Association for Computational Linguistics (NAACL) is one of the top natural language processing conferences in the world. Paper Digest Team analyzes all papers publis

wangyuchi369.github.io·há mais de 2 anos

[NAACL 2024] LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? | Yuchi Wang (王宇驰)

We explore the previously untapped advantages of diffusion models over autoregressive (AR) methods in image-to-text generation. Through meticulous design of a latent-based diffusion model tailored for

resources.paperdigest.org·há quase 3 anos

Most Influential NAACL Papers (2023-09)

The North American Chapter of the Association for Computational Linguistics (NAACL) is one of the top natural language processing conferences in the world. Paper Digest Team analyzes all papers publis

2021.naacl.org

Conference Blog - NAACL-HLT 2021

Official website for the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2021.naacl.org

NAACL-HLT 2021 Instructions for Reviewers

Official website for the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2021.naacl.org

NAACL-HLT 2021 Style Files and Formatting

Official website for the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies