Formality Style Transfer
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Benchmarks
GYAFC
Most implemented
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
CoEdIT: Text Editing by Task-Specific Instruction Tuning
Semi-Supervised Formality Style Transfer with Consistency Training
XFORMAL: A Benchmark for Multilingual Formality Style Transfer
Papers
Formality Style Transfer in Persian
This study explores the formality style transfer in Persian, particularly relevant in the face of the increasing prevalence of informal language on digital platforms, which poses challenges for existing Natural Language …
Formality Style TransferNavigateStyle TransferICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
While state-of-the-art large language models (LLMs) can excel at adapting text from one style to another, current work does not address the explainability of style transfer models. Recent work has explored generating tex…
Authorship AttributionAuthorship VerificationFormality Style TransferIn-Context Learning+1Reducing Sequence Length by Predicting Edit Operations with Large Language Models
Large Language Models (LLMs) have demonstrated remarkable performance in various tasks and gained significant attention. LLMs are also used for local sequence transduction tasks, including grammatical error correction (G…
Formality Style TransferGrammatical Error CorrectionStyle TransferText SimplificationCoEdIT: Text Editing by Task-Specific Instruction Tuning
We introduce CoEdIT, a state-of-the-art text editing system for writing assistance. CoEdIT takes instructions from the user specifying the attributes of the desired text, such as "Make the sentence simpler" or "Write it …
Formality Style TransferGrammatical Error CorrectionLanguage ModelingLarge Language Model+4Semi-Supervised Formality Style Transfer with Consistency Training
Formality style transfer (FST) is a task that involves paraphrasing an informal sentence into a formal one without altering its meaning. To address the data-scarcity problem of existing parallel datasets, previous studie…
Formality Style TransferSentenceEvaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this paper, we evaluate leading ST automatic metrics on the oft-resea…
Formality Style TransferStyle Transfer