Distilling Text Style Transfer With Self-Explanation From LLMs

2 March 2024

Papers citing "Distilling Text Style Transfer With Self-Explanation From LLMs"

7 / 7 papers shown

Title
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 206 499 0 03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 57 92 0 03 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu Abdul Waheed Chiyu Zhang Muhammad Abdul-Mageed Alham Fikri Aji ALM 127 119 0 27 Apr 2023
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models Mirac Suzgun Luke Melas-Kyriazi Dan Jurafsky VLM 77 65 0 23 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 306 11,909 0 04 Mar 2022
Text Detoxification using Large Pre-trained Neural Models David Dale Anton Voronov Daryna Dementieva V. Logacheva Olga Kozlova Nikita Semenov Alexander Panchenko 39 71 0 18 Sep 2021
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer Huiyuan Lai Antonio Toral Malvina Nissim 27 56 0 14 May 2021