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

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

17 August 2023
N. Babakov
David Dale
I. Gusev
I. Krotova
Alexander Panchenko
ArXivPDFHTML

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

4 / 4 papers shown
Title
A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia
A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia
Abraham Israeli
David Jurgens
Daniel M. Romero
21
0
0
24 Oct 2024
Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
Jasper Dekoninck
Maximilian Baader
Martin Vechev
ALM
92
0
0
01 Sep 2024
Controlled Text Generation via Language Model Arithmetic
Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck
Marc Fischer
Luca Beurer-Kellner
Martin Vechev
31
36
0
24 Nov 2023
A Recipe For Arbitrary Text Style Transfer with Large Language Models
A Recipe For Arbitrary Text Style Transfer with Large Language Models
Emily Reif
Daphne Ippolito
Ann Yuan
Andy Coenen
Chris Callison-Burch
Jason W. Wei
224
117
0
08 Sep 2021
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