ChatGPT vs human-authored text: Insights into controllable text summarization and sentence style transfer
Large-scale language models, like ChatGPT, have garnered significant media attention and
stunned the public with their remarkable capacity for generating coherent text from short …
stunned the public with their remarkable capacity for generating coherent text from short …
Latent representation discretization for unsupervised text style generation
Abstract Language models, such as BART and GPT, have been shown to be highly effective
at producing quality headlines. However, without clear guidelines for what constitutes a …
at producing quality headlines. However, without clear guidelines for what constitutes a …
Nmtf-ltm: Towards an alignment of semantics for lifelong topic modeling
Aiming at mining high quality topics by accumulating and utilizing semantic knowledge for a
stream of documents, lifelong topic modeling (LTM) has attracted more and more attentions …
stream of documents, lifelong topic modeling (LTM) has attracted more and more attentions …
Don't lose the message while paraphrasing: A study on content preserving style transfer
Text style transfer techniques are gaining popularity in natural language processing
allowing paraphrasing text in the required form: from toxic to neural, from formal to informal …
allowing paraphrasing text in the required form: from toxic to neural, from formal to informal …
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Text generation has become more accessible than ever, and the increasing interest in these
systems, especially those using large language models, has spurred an increasing number …
systems, especially those using large language models, has spurred an increasing number …
Authorship Style Transfer with Policy Optimization
Authorship style transfer aims to rewrite a given text into a specified target while preserving
the original meaning in the source. Existing approaches rely on the availability of a large …
the original meaning in the source. Existing approaches rely on the availability of a large …
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
While state-of-the-art language models excel at the style transfer task, current work does not
address explainability of style transfer systems. Explanations could be generated using …
address explainability of style transfer systems. Explanations could be generated using …
Exploring methods for cross-lingual text style transfer: The case of text detoxification
Text detoxification is the task of transferring the style of text from toxic to neutral. While here
are approaches yielding promising results in monolingual setup, eg,(Dale et al., 2021; …
are approaches yielding promising results in monolingual setup, eg,(Dale et al., 2021; …
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Textual style transfer is the task of transforming stylistic properties of text while preserving
meaning. Target" styles" can be defined in numerous ways, ranging from single attributes …
meaning. Target" styles" can be defined in numerous ways, ranging from single attributes …
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
Authorship style transfer involves altering text to match the style of a target author whilst
preserving the original meaning. Existing unsupervised approaches like STRAP have …
preserving the original meaning. Existing unsupervised approaches like STRAP have …