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

Title
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing Robin Jegan Andreas Henrich AI4TS 167 0 0 19 May 2025
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Ming Cheng Jiaying Gong Chenhan Yuan William A. Ingram Edward A. Fox Hoda Eldardiry 421 1 0 07 Nov 2024
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation PracticesInternational Conference on Natural Language Generation (INLG), 2024 Patrícia Schmidtová Saad Mahamood Simone Balloccu Ondřej Dušek Albert Gatt Dimitra Gkatzia David M. Howcroft Ondřej Plátek Adarsa Sivaprasad 180 18 0 17 Aug 2024
An LLM-Enhanced Adversarial Editing System for Lexical Simplification Keren Tan Kangyang Luo Yunshi Lan Zheng Yuan Jinlong Shu AAML 317 9 0 22 Feb 2024
BLESS: Benchmarking Large Language Models on Sentence SimplificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Tannon Kew Alison Chi Laura Vásquez-Rodríguez Sweta Agrawal Dennis Aumiller Fernando Alva-Manchego Teven Le Scao 180 49 0 24 Oct 2023
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language ModelsIEEE Games Entertainment Media Conference (IEEE GEM), 2023 Joseph Marvin Imperial Harish Tayyar Madabushi ELM 175 21 0 11 Sep 2023
Learning to Paraphrase Sentences to Different Complexity LevelsTransactions of the Association for Computational Linguistics (TACL), 2023 Alison Chi Li-Kuang Chen Yi-Chen Chang Shu-Hui Lee Jason J. S. Chang 142 15 0 04 Aug 2023
A New Dataset and Empirical Study for Sentence Simplification in ChineseAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Shiping Yang Renliang Sun Xiao-Yi Wan 223 10 0 07 Jun 2023