Text Style Transfer

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 93 papers with code (186 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.

• Style Transfer from Non-Parallel Text by Cross-Alignment
  26 May 2017 12 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 6 pointer-only (licence)
  We demonstrate the effectiveness of this cross-alignment method on three tasks: sentiment modification, decipherment of word substitution ciphers, and recovery of word order.
• A Probabilistic Formulation of Unsupervised Text Style Transfer
  10 Feb 2020 5 repositories listed Syntology ran 18 of 25 samples · 7 unverified · 12 pointer-only (licence)
  Across all style transfer tasks, our approach yields substantial gains over state-of-the-art non-generative baselines, including the state-of-the-art unsupervised machine translation techniques that our approach…
• VAE based Text Style Transfer with Pivot Words Enhancement Learning
  6 Dec 2021 4 repositories listed
  Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content.
• Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
  14 May 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Disentangling the content and style in the latent space is prevalent in unpaired text style transfer.
• IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
  7 Mar 2022 3 repositories listed
  We introduce IT5, the first family of encoder-decoder transformer models pretrained specifically on Italian.
• Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
  17 Feb 2021 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Recent works have demonstrated reasonable success of representation learning in hypercomplex space.
• Educating Text Autoencoders: Latent Representation Guidance via Denoising
  29 May 2019 3 repositories listed
  We prove that this simple modification guides the latent space geometry of the resulting model by encouraging the encoder to map similar texts to similar latent representations.
• IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
  31 Jan 2019 3 repositories listed
  Text attribute transfer aims to automatically rewrite sentences such that they possess certain linguistic attributes, while simultaneously preserving their semantic content.
• Multiple-Attribute Text Style Transfer
  1 Nov 2018 3 repositories listed
  The dominant approach to unsupervised "style transfer" in text is based on the idea of learning a latent representation, which is independent of the attributes specifying its "style".
• Disentangled Representation Learning for Non-Parallel Text Style Transfer
  13 Aug 2018 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This paper tackles the problem of disentangling the latent variables of style and content in language models.
• Style Transfer Through Back-Translation
  24 Apr 2018 3 repositories listed
  We first learn a latent representation of the input sentence which is grounded in a language translation model in order to better preserve the meaning of the sentence while reducing stylistic properties.
• Multilingual Text Style Transfer: Datasets & Models for Indian Languages
  31 May 2024 2 repositories listed
  Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content.
• PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
  14 Nov 2023 2 repositories listed
  Language style is necessary for AI systems to understand and generate diverse human language accurately.
• Studying the role of named entities for content preservation in text style transfer
  20 Jun 2022 2 repositories listed
  Text style transfer techniques are gaining popularity in Natural Language Processing, finding various applications such as text detoxification, sentiment, or formality transfer.
• StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
  12 Apr 2021 2 repositories listed
  Many of the existing style transfer benchmarks primarily focus on individual high-level semantic changes (e.
• Deep Learning for Text Style Transfer: A Survey
  1 Nov 2020 2 repositories listed
  Text style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others.
• Text Style Transfer: A Review and Experimental Evaluation
  24 Oct 2020 2 repositories listed
  This article aims to provide a comprehensive review of recent research efforts on text style transfer.
• A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
  24 May 2019 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Therefore, in this paper, we propose a dual reinforcement learning framework to directly transfer the style of the text via a one-step mapping model, without any separation of content and style.
• Structured Content Preservation for Unsupervised Text Style Transfer
  15 Oct 2018 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Text style transfer aims to modify the style of a sentence while keeping its content unchanged.
• Style Transfer in Text: Exploration and Evaluation
  18 Nov 2017 2 repositories listed
  Results show that the proposed content preservation metric is highly correlate to human judgments, and the proposed models are able to generate sentences with higher style transfer strength and similar content…
• Multilingual and Explainable Text Detoxification with Parallel Corpora
  16 Dec 2024 1 repository listed
  Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant…
• Style-Specific Neurons for Steering LLMs in Text Style Transfer
  1 Oct 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Text style transfer (TST) aims to modify the style of a text without altering its original meaning.
• WAS: Dataset and Methods for Artistic Text Segmentation
  31 Jul 2024 1 repository listed
  One challenge of the task is that the local stroke shapes of artistic text are changeable with diversity and complexity.
• Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
  20 Jul 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  With the advent of foundation models, prompt tuning has positioned itself as an important technique for directing model behaviors and eliciting desired responses.
• TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
  21 Jun 2024 1 repository listed
  The goal of text style transfer is to transform the style of texts while preserving their original meaning, often with only a few examples of the target style.
• Style Transfer with Multi-iteration Preference Optimization
  17 Jun 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Numerous recent techniques for text style transfer characterize their approaches as variants of reinforcement learning and preference optimization.
• Are Large Language Models Actually Good at Text Style Transfer?
  9 Jun 2024 1 repository listed
  We analyze the performance of large language models (LLMs) on Text Style Transfer (TST), specifically focusing on sentiment transfer and text detoxification across three languages: English, Hindi, and Bengali.
• Text Detoxification as Style Transfer in English and Hindi
  12 Feb 2024 1 repository listed
  This task contributes to safer and more respectful online communication and can be considered a Text Style Transfer (TST) task, where the text style changes while its content is preserved.
• CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer
  11 Jan 2024 1 repository listed
  Text style transfer is increasingly prominent in online entertainment and social media.
• STEER: Unified Style Transfer with Expert Reinforcement
  13 Nov 2023 1 repository listed
  We propose STEER: Unified Style Transfer with Expert Reinforcement, a unified frame-work developed to overcome the challenge of limited parallel data for style transfer.

Syntology lines on 10 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.