@inproceedings{lee-etal-2025-editext,
title = "{E}di{T}ext: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models",
author = "Lee, Che Hyun and
Kim, Heeseung and
Yeom, Jiheum and
Yoon, Sungroh",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.1111/",
doi = "10.18653/v1/2025.acl-long.1111",
pages = "22798--22815",
ISBN = "979-8-89176-251-0",
abstract = "We propose EdiText, a controllable text editing method that modifies the reference text to desired attributes at various scales. We integrate an SDEdit-based editing technique that allows for broad adjustments in the degree of text editing. Additionally, we introduce a novel fine-level editing method based on self-conditioning, which allows subtle control of reference text. While being capable of editing on its own, this fine-grained method, integrated with the SDEdit approach, enables EdiText to make precise adjustments within the desired range. EdiText demonstrates its controllability to robustly adjust reference text at a broad range of levels across various tasks, including toxicity control and sentiment control."
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%0 Conference Proceedings
%T EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
%A Lee, Che Hyun
%A Kim, Heeseung
%A Yeom, Jiheum
%A Yoon, Sungroh
%Y Che, Wanxiang
%Y Nabende, Joyce
%Y Shutova, Ekaterina
%Y Pilehvar, Mohammad Taher
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-251-0
%F lee-etal-2025-editext
%X We propose EdiText, a controllable text editing method that modifies the reference text to desired attributes at various scales. We integrate an SDEdit-based editing technique that allows for broad adjustments in the degree of text editing. Additionally, we introduce a novel fine-level editing method based on self-conditioning, which allows subtle control of reference text. While being capable of editing on its own, this fine-grained method, integrated with the SDEdit approach, enables EdiText to make precise adjustments within the desired range. EdiText demonstrates its controllability to robustly adjust reference text at a broad range of levels across various tasks, including toxicity control and sentiment control.
%R 10.18653/v1/2025.acl-long.1111
%U https://aclanthology.org/2025.acl-long.1111/
%U https://doi.org/10.18653/v1/2025.acl-long.1111
%P 22798-22815
Markdown (Informal)
[EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models](https://aclanthology.org/2025.acl-long.1111/) (Lee et al., ACL 2025)
ACL