mlsanityData to 14 Oct 2026

Case-Based Decision-Theoretic Decoding with Quality Memories

arXiv 2509.12677 ↗First posted 16 Sep 2025cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Minimum Bayes risk (MBR) decoding is a decision rule of text generation, which selects the hypothesis that maximizes the expected utility and robustly generates higher-quality texts than maximum a posteriori (MAP) decoding. However, it depends on sample texts drawn from the text generation model; thus, it is difficult to find a hypothesis that correctly captures the knowledge or information of out-of-domain. To tackle this issue, we propose case-based decision-theoretic (CBDT) decoding, another method to estimate the expected utility using examples of domain data. CBDT decoding not only generates higher-quality texts than MAP decoding, but also the combination of MBR and CBDT decoding outperformed MBR decoding in seven domain De--En and JaleftrightarrowEn translation tasks and image captioning tasks on MSCOCO and nocaps datasets.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 43 of its 76 references that are in the map. First posted on arXiv 16 Sep 2025.

Builds on

43 of 76 references.

References · 43

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2017Billion-scale similarity search with GPUscited by 2,497
  5. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
  6. 2020BLEURT: Learning Robust Metrics for Text Generationcited by 1,203
  7. 2014Deep Visual-Semantic Alignments for Generating Image Descriptionscited by 968
  8. 2020Language-agnostic BERT Sentence Embeddingcited by 627
  9. 2020Beyond English-Centric Multilingual Machine Translationcited by 561
  10. 2024LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methodscited by 465
  11. 2018nocaps: novel object captioning at scalecited by 444
  12. 2024Multilingual E5 Text Embeddings: A Technical Reportcited by 372
31 more
  1. 2017Six Challenges for Neural Machine Translationcited by 335
  2. 2023xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detectioncited by 265
  3. 2019Connecting Vision and Language with Localized Narrativescited by 226
  4. 2020Nearest Neighbor Machine Translationcited by 209
  5. 2019Facebook FAIR's WMT19 News Translation Task Submissioncited by 179
  6. 2020Unsupervised Domain Clusters in Pretrained Language Modelscited by 160
  7. 2020Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translationcited by 138
  8. 2021High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metricscited by 104
  9. 2024MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Taskcited by 93
  10. 2024BM25S: Orders of magnitude faster lexical search via eager sparse scoringcited by 88
  11. 2019Mixture Models for Diverse Machine Translation: Tricks of the Tradecited by 77
  12. 2021Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translationcited by 65
  13. 2018Guiding Neural Machine Translation with Retrieved Translation Piecescited by 63
  14. 2021Neural Machine Translation with Monolingual Translation Memorycited by 61
  15. 2022Neuro-Symbolic Language Modeling with Automaton-augmented Retrievalcited by 60
  16. 2023Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translationcited by 58
  17. 2019Simple and Effective Noisy Channel Modeling for Neural Machine Translationcited by 37
  18. 2023Faster Minimum Bayes Risk Decoding with Confidence-based Pruningcited by 34
  19. 2024Linear-time Minimum Bayes Risk Decoding with Reference Aggregationcited by 21
  20. 2016The Neural Noisy Channelcited by 19
  21. 2024Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decodingcited by 15
  22. 2024Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithmscited by 13
  23. 2024Improving Minimum Bayes Risk Decoding with Multi-Promptcited by 13
  24. 2024mbrs: A Library for Minimum Bayes Risk Decodingcited by 13
  25. 2024Centroid-Based Efficient Minimum Bayes Risk Decodingcited by 12
  26. 2025Uncertainty-Aware Decoding with Minimum Bayes Riskcited by 11
  27. 2024Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decodingcited by 9
  28. 2023Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systemscited by 4
  29. 2025Theoretical Guarantees for Minimum Bayes Risk Decodingcited by 3
  30. 2024On the True Distribution Approximation of Minimum Bayes-Risk Decodingcited by 2
  31. 2018Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressionscited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Expertscited by 0