Papers with Code 아카이브

Text Style Transfer

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 3
평가표: 2
보존된 평가 기록: 10

Text Style Transfer is the task of controlling certain attributes of generated text. The state-of-the-art methods can be categorized into two main types which are used on parallel and non-parallel data. Methods on parallel data are typically supervised methods that use a neural sequence-to-sequence model with the encoder-decoder architecture. Methods on non-parallel data are usually unsupervised approaches using Disentanglement, Prototype Editing and Pseudo-Parallel Corpus Construction.

The popular benchmark for this task is the Yelp Review Dataset. Models are typically evaluated with the metrics of Sentiment Accuracy, BLEU, and PPL.

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Text Style Transfer

논문

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing

Multi-Attribute Constraint Satisfaction via Language Model Rewriting

Multilingual and Explainable Text Detoxification with Parallel Corpora

Style-Specific Neurons for Steering LLMs in Text Style Transfer

WAS: Dataset and Methods for Artistic Text Segmentation

A Survey of Text Style Transfer: Applications and Ethical Implications

SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL

Text Style Transfer: An Introductory Overview

Change My Frame: Reframing in the Wild in r/ChangeMyView

TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings

Style Transfer with Multi-iteration Preference Optimization

Out of style: Misadventures with LLMs and code style transfer

Are Large Language Models Actually Good at Text Style Transfer?

SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer

Formality Style Transfer in Persian

Multilingual Text Style Transfer: Datasets & Models for Indian Languages

Improving Long Text Understanding with Knowledge Distilled from Summarization Model

LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots

Distilling Text Style Transfer With Self-Explanation From LLMs

Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions

Text Detoxification as Style Transfer in English and Hindi

CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer

Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer

STEER: Unified Style Transfer with Expert Reinforcement

Text Fact Transfer

Prefix-Tuning Based Unsupervised Text Style Transfer

Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

Unsupervised Text Style Transfer with Deep Generative Models

Text Style Transfer Evaluation Using Large Language Models

Don't lose the message while paraphrasing: A study on content preserving style transfer

Learning Evaluation Models from Large Language Models for Sequence Generation