Unsupervised Text Style Transfer

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

3 datasets 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.

Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (42 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.

• Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
  17 Apr 2018 6 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e.
• 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…
• 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.
• 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.
• MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
  12 Jun 2023 1 repository listed
  Our proposed method addresses this issue by assigning individual style vector to each token in a text, allowing for fine-grained control and manipulation of the style strength.
• Composable Text Controls in Latent Space with ODEs
  1 Aug 2022 1 repository listed
  This paper proposes a new efficient approach for composable text operations in the compact latent space of text.
• Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
  1 Jul 2022 1 repository listed
  Such training objective is sub-optimal when the target sequence is not perfect, e.
• RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
  25 May 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  RLPrompt formulates a parameter-efficient policy network that generates the desired discrete prompt after training with reward.
• So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
  9 May 2022 1 repository listed
  Automatic transfer of text between domains has become popular in recent times.
• Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer
  4 May 2022 1 repository listed Syntology ran 11 of 14 samples · 3 unverified · 14 pointer-only (licence)
  We empirically show that this (a) produces a better organised latent space that clusters stylistically similar sentences together, (b) performs best on a diverse set of text style transfer tasks than similar…
• Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer
  1 Nov 2021 1 repository listed
  In this paper, we propose a collaborative learning framework for unsupervised text style transfer using a pair of bidirectional decoders, one decoding from left to right while the other decoding from right to left.
• Exploring Non-Autoregressive Text Style Transfer
  1 Nov 2021 1 repository listed
  In this paper, we explore Non-AutoRegressive (NAR) decoding for unsupervised text style transfer.
• Transductive Learning for Unsupervised Text Style Transfer
  16 Sep 2021 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  The proposed transductive learning approach is general and effective to the task of unsupervised style transfer, and we will apply it to the other two typical methods in the future.
• Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
  29 Jun 2021 1 repository listed
  Such training objective is sub-optimal when the target sequence is not perfect, e.
• NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
  4 Jun 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  First, we observe that most words in the transferred sentence can be aligned with related words in the source sentence, so we explicitly model word alignments to suppress irrelevant words.
• LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
  18 May 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Moreover, compared to previous methods on unsupervised data synthesis, our method results in higher quality parallel style pairs and improves model performance.
• How Positive Are You: Text Style Transfer using Adaptive Style Embedding
  1 Dec 2020 1 repository listed
  In both approaches, however, it is impossible to adjust the strength of the style in the generated output.
• 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.
• A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
  5 Jun 2019 1 repository listed
  Unsupervised text style transfer aims to alter text styles while preserving the content, without aligned data for supervision.
• Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
  29 May 2019 1 repository listed
  We propose a new framework that utilizes the gradients to revise the sentence in a continuous space during inference to achieve text style transfer.
• Unsupervised Text Style Transfer using Language Models as Discriminators
  30 May 2018 1 repository listed
  Binary classifiers are often employed as discriminators in GAN-based unsupervised style transfer systems to ensure that transferred sentences are similar to sentences in the target domain.

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.