Minimum Bayes Risk Decoding Explained

Minimum Bayes Risk Decoding Explained. Better Evaluation for Neural Machine Translation

Minimum Bayes Risk decoding

[ICML 2024] Model-Based Minimum Bayes-Risk Decoding for Text Generation

Title: Model-Based

[ACL 2024] Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

Paper: https://arxiv.org/abs/2401.02749 Code: https://github.com/CyberAgentAILab/adaptive-mbr Authors: Yuu Jinnai,...

[ACL 2025] Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

Paper: https://arxiv.org/abs/2505.23078 Code: https://github.com/jinnaiyuu/mbr-optimal-transport Yuu Jinnai....

[ACL 2024] Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

Paper: https://arxiv.org/abs/2401.05054 Code: https://github.com/CyberAgentAILab/diverse-mbr Authors: Yuu Jinnai,...

[NAACL 2025] Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for LLM Alignment

"Regularized Best-of-N Sampling with

Bayes theorem, the geometry of changing beliefs

Perhaps the most important formula in probability. Help fund future projects: https://www.patreon.com/3blue1brown An...

Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained

How do large language models like ChatGPT actually decide which word comes next? In this video, we break down the...

Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition

In this

Machine Learning: Bayes Decision Theory

Hey guys, today we'll go through some theory. We'll take a look at

(ML 11.3) Frequentist risk, Bayesian expected loss, and Bayes risk

A simple way to visualize the relationships between the frequentist

Naive Bayes, Clearly Explained!!!

When most people want to learn about Naive

The medical test paradox, and redesigning Bayes' rule

About Likelihood Ratios, also sometimes called