Teaching the Pre-trained Model to Generate Simple Texts for Text
Simplification

Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification

21 May 2023

Xiaojun Wan

Papers citing "Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification"

9 / 9 papers shown

Title
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models Ming Cheng Jiaying Gong Chenhan Yuan William A. Ingram Edward A. Fox Hoda Eldardiry 47 0 0 07 Nov 2024
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices Patrícia Schmidtová Saad Mahamood Simone Balloccu Ondřej Dušek Albert Gatt Dimitra Gkatzia David M. Howcroft Ondřej Plátek Adarsa Sivaprasad 45 3 0 17 Aug 2024
An LLM-Enhanced Adversarial Editing System for Lexical Simplification Keren Tan Kangyang Luo Yunshi Lan Zheng Yuan Jinlong Shu AAML 24 5 0 22 Feb 2024
BLESS: Benchmarking Large Language Models on Sentence Simplification Tannon Kew Alison Chi Laura Vásquez-Rodríguez Sweta Agrawal Dennis Aumiller Fernando Alva-Manchego Teven Le Scao 40 22 0 24 Oct 2023
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models Joseph Marvin Imperial Harish Tayyar Madabushi ELM 30 11 0 11 Sep 2023
Learning to Paraphrase Sentences to Different Complexity Levels Alison Chi Li-Kuang Chen Yi-Chen Chang Shu-Hui Lee Jason J. S. Chang 24 10 0 04 Aug 2023
A New Dataset and Empirical Study for Sentence Simplification in Chinese Shiping Yang Renliang Sun Xiao-Yi Wan 16 9 0 07 Jun 2023
Dict-BERT: Enhancing Language Model Pre-training with Dictionary W. Yu Chenguang Zhu Yuwei Fang Donghan Yu Shuohang Wang Yichong Xu Michael Zeng Meng Jiang 50 64 0 13 Oct 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,432 0 22 Aug 2019