Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities. Chu, M. D., He, Z., Dorn, R., & Lerman, K. In Chiruzzo, L., Ritter, A., & Wang, L., editors, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, pages 88–111, 2025. Association for Computational Linguistics.
Paper doi bibtex @inproceedings{DBLP:conf/naacl/ChuHDL25,
author = {Minh Duc Chu and
Zihao He and
Rebecca Dorn and
Kristina Lerman},
editor = {Luis Chiruzzo and
Alan Ritter and
Lu Wang},
title = {Improving and Assessing the Fidelity of Large Language Models Alignment
to Online Communities},
booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas
Chapter of the Association for Computational Linguistics: Human Language
Technologies, {NAACL} 2025 - Volume 1: Long Papers, Albuquerque, New
Mexico, USA, April 29 - May 4, 2025},
pages = {88--111},
publisher = {Association for Computational Linguistics},
year = {2025},
url = {https://doi.org/10.18653/v1/2025.naacl-long.5},
doi = {10.18653/V1/2025.NAACL-LONG.5},
timestamp = {Fri, 13 Jun 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/naacl/ChuHDL25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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