mlsanityData to 7 Oct 2026

mbrs: A Library for Minimum Bayes Risk Decoding

arXiv 2408.04167 ↗First posted 8 Aug 2024cs.CLcited by 13

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Abstract (arXiv)

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

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 18 of its 32 references that are in the map. First posted on arXiv 8 Aug 2024.

Builds on

18 of 32 references.

References · 18

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2019fairseq: A Fast, Extensible Toolkit for Sequence Modelingcited by 1,486
  3. 2020BLEURT: Learning Robust Metrics for Text Generationcited by 1,196
  4. 2020COMET: A Neural Framework for MT Evaluationcited by 1,024
  5. 2020Beyond English-Centric Multilingual Machine Translationcited by 559
  6. 2017Six Challenges for Neural Machine Translationcited by 334
  7. 2023xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detectioncited by 260
  8. 2020Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translationcited by 137
  9. 2018Analyzing Uncertainty in Neural Machine Translationcited by 126
  10. 2021High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metricscited by 104
  11. 2021Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translationcited by 63
  12. 2021Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translationcited by 56
6 more
  1. 2023Faster Minimum Bayes Risk Decoding with Confidence-based Pruningcited by 34
  2. 2024Linear-time Minimum Bayes Risk Decoding with Reference Aggregationcited by 21
  3. 2024Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithmscited by 13
  4. 2024Centroid-Based Efficient Minimum Bayes Risk Decodingcited by 12
  5. 2024Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decodingcited by 11
  6. 2023Model-Based Minimum Bayes Risk Decoding for Text Generationcited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 7.

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  1. 2025Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Abilitycited by 10
  2. 2025gec-metrics: A Unified Library for Grammatical Error Correction Evaluationcited by 9
  3. 2024Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decodingcited by 8
  4. 2025From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Taskcited by 3
  5. 2025Agreement-Constrained Probabilistic Minimum Bayes Risk Decodingcited by 2
  6. 2025Case-Based Decision-Theoretic Decoding with Quality Memoriescited by 1
  7. 2026Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correctioncited by 1
  8. 2026Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decodingcited by 0
  9. 2026HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientistscited by 0
  10. 2026Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decodingcited by 0
  11. 2026MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation taskcited by 0
  12. 2026Non-Autoregressive Minimum Bayes' Risk Decoding for Fast Speech Recognitioncited by 0
1 more
  1. 2026Overfitting Mitigation via Singular Value Decomposition in Minimum Bayes Risk Decodingcited by 0