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arXiv · 2408.04167

mbrs: A Library for Minimum Bayes Risk Decoding

Hiroyuki Deguchi·Yusuke Sakai·Hidetaka Kamigaito·Taro Watanabe
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Abstract

Minimum Bayes risk (MBR) decoding is a decision rule of text generation tasks that outperforms conventional maximum a posterior (MAP) decoding using beam search by selecting high-quality outputs based on a utility function rather than those with high-probability. Typically, it finds the most suitable hypothesis from the set of hypotheses under the sampled pseudo-references. mbrs is a library of MBR decoding, which can flexibly combine various metrics, alternative expectation estimations, and algorithmic variants. It is designed with a focus on speed measurement and calling count of code blocks, transparency, reproducibility, and extensibility, which are essential for researchers and developers. We published our mbrs as an MIT-licensed open-source project, and the code is available on GitHub. GitHub: https://github.com/naist-nlp/mbrs

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Hiroyuki Deguchi, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe. 2024-08-08. mbrs: A Library for Minimum Bayes Risk Decoding. https://arxiv.org/abs/2408.04167

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