The reviewed record of science sign in
Pith

arxiv: 2502.19765 · v2 · pith:A56ONQ52 · submitted 2025-02-27 · cs.CL · cs.LG

EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:A56ONQ52record.jsonopen to challenge →

classification cs.CL cs.LG
keywords editingtexteditextcontrolmethodreferenceadjustmentsallows
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.