A library for minimum Bayes risk (MBR) decoding
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Updated
Nov 2, 2025 - Python
A library for minimum Bayes risk (MBR) decoding
Characterizing the performance of minimum Bayes risk (MBR) decoding for neural machine translation (NMT) when using various candidate generation methods by examining BLEU score, length bias, and token frequency bias. [CS287: Deep Learning for Natural Language Processing, Final Project, Fall 2021]
The Anatomy of the CTC Oracle Gap: the near-converged CTC ASR decoding bottleneck is linguistic, not acoustic. MBR + RoBERTa PLL → ~9% relative WER reduction. Paper + code
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