Formality Style Transfer

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
  20 Oct 2021 2 repositories listed
  While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation.
• ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
  15 Sep 2023 1 repository listed
  Via automatic and human evaluation, we show that specialized student models fine-tuned on our datasets outperform generalist teacher models on the explainable style transfer task in one-shot settings, and perform…
• CoEdIT: Text Editing by Task-Specific Instruction Tuning
  17 May 2023 1 repository listed
  We present a large language model fine-tuned on a diverse collection of task-specific instructions for text editing (a total of 82K instructions).
• Semi-Supervised Formality Style Transfer with Consistency Training
  25 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In this work, we propose a simple yet effective semi-supervised framework to better utilize source-side unlabeled sentences based on consistency training.
• Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
  14 May 2021 1 repository listed
  Scarcity of parallel data causes formality style transfer models to have scarce success in preserving content.
• XFORMAL: A Benchmark for Multilingual Formality Style Transfer
  8 Apr 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.
• Formality Style Transfer with Shared Latent Space
  1 Dec 2020 1 repository listed
  Conventional approaches for formality style transfer borrow models from neural machine translation, which typically requires massive parallel data for training.
• Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization
  10 Oct 2020 1 repository listed
  Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tasks.
• Parallel Data Augmentation for Formality Style Transfer
  14 May 2020 1 repository listed
  The main barrier to progress in the task of Formality Style Transfer is the inadequacy of training data.
• Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
  17 Mar 2018 1 repository listed
  Style transfer is the task of automatically transforming a piece of text in one particular style into another.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.