KNOT-MCTS: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering

Chung-Wen Wu, Guan-Tang Huang, Yue-Yang He, Berlin Chen


Anthology ID:
2023.rocling-1.26
Volume:
Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
Month:
October
Year:
2023
Address:
Taipei City, Taiwan
Editors:
Jheng-Long Wu, Ming-Hsiang Su
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
215–221
Language:
URL:
https://aclanthology.org/2023.rocling-1.26
DOI:
Bibkey:
Cite (ACL):
Chung-Wen Wu, Guan-Tang Huang, Yue-Yang He, and Berlin Chen. 2023. KNOT-MCTS: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 215–221, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
KNOT-MCTS: An Effective Approach to Addressing Hallucinations in Generative Language Modeling for Question Answering (Wu et al., ROCLING 2023)
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PDF:
https://aclanthology.org/2023.rocling-1.26.pdf