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Prompting approaches have been recently explored in text style transfer, where a textual prompt is used to query a pretrained language model to generate style-transferred texts word by word in an autoregressive manner.
Language models are few-shot learners
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Paraphrasing for style
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Style transfer from non-parallel text by cross-alignment
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Style transfer in text: Exploration and evaluation
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Multiple-attribute text rewriting
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Delete, retrieve, generate: A simple approach to sentiment and style transfer
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Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
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Generating sentences from disentangled syntactic and semantic spaces
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Disentangled representation learning for non-parallel text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 2019 · 2019
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Parallel data augmentation for formality style transfer
Yi Zhang, Tao Ge, and Xu Sun. 2020 · 2020
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A review of human evaluation for style transfer
Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault, and Marine Carpuat. 2021 · 2021
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Simulated annealing for emotional dialogue systems
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Multi-style transfer with discriminative feedback on disjoint corpus
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Thank you BART! Rewarding pre-trained models improves formality style transfer
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
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A dual reinforcement learning framework for unsupervised text style transfer
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CGMH: Constrained sentence generation by Metropolis-Hastings sampling
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Hooks in the headline: Learning to generate headlines with controlled styles
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, and Peter Szolovits. 2020 · 2020
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Reformulating unsupervised style transfer as paraphrase generation
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Iterative edit-based unsupervised sentence simplification
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LEWIS: Levenshtein editing for unsupervised text style transfer
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Stylized dialogue response generation using stylized unpaired texts
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Noisy channel language model prompting for few-shot text classification
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Multitask prompted training enables zero-shot task generalization
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Prompt-and-Rerank: A method for zero-shot and few-shot arbitrary textual style transfer with small language models
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Stage-wise stylistic headline generation: Style generation and summarized content insertion
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