mbrs: A Library for Minimum Bayes Risk Decoding

Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe


Anthology ID:
2024.emnlp-demo.37
Volume:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Delia Irazu Hernandez Farias, Tom Hope, Manling Li
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
351–362
Language:
URL:
https://aclanthology.org/2024.emnlp-demo.37
DOI:
Bibkey:
Cite (ACL):
Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, and Taro Watanabe. 2024. mbrs: A Library for Minimum Bayes Risk Decoding. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 351–362, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
mbrs: A Library for Minimum Bayes Risk Decoding (Deguchi et al., EMNLP 2024)
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PDF:
https://aclanthology.org/2024.emnlp-demo.37.pdf