@inproceedings{wu-etal-2023-knot,
title = "{KNOT}-{MCTS}: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering",
author = "Wu, Chung-Wen and
Huang, Guan-Tang and
He, Yue-Yang and
Chen, Berlin",
editor = "Wu, Jheng-Long and
Su, Ming-Hsiang",
booktitle = "Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)",
month = oct,
year = "2023",
address = "Taipei City, Taiwan",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.rocling-1.26/",
pages = "215--221"
}
Markdown (Informal)
[KNOT-MCTS: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering](https://preview.aclanthology.org/add-emnlp-2024-awards/2023.rocling-1.26/) (Wu et al., ROCLING 2023)
ACL