Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning Huiming Wang author Zhaodonghui Li author Liying Cheng author De Wen Soh author Lidong Bing author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication wang-etal-2024-large-language 10.18653/v1/2024.naacl-long.436 https://aclanthology.org/2024.naacl-long.436/ 2024-06 7874 7891