2025.acl-long.1111@ACL

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#1 EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models [PDF1] [Copy] [Kimi2] [REL]

Authors: Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon

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.

Subject: ACL.2025 - Long Papers