ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.05263
  4. Cited By
Model-Based Minimum Bayes Risk Decoding for Text Generation

Model-Based Minimum Bayes Risk Decoding for Text Generation

9 November 2023
Yuu Jinnai
Tetsuro Morimura
Ukyo Honda
Kaito Ariu
Kenshi Abe
ArXivPDFHTML

Papers citing "Model-Based Minimum Bayes Risk Decoding for Text Generation"

11 / 11 papers shown
Title
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding
Hidetaka Kamigaito
Hiroyuki Deguchi
Yusuke Sakai
Katsuhiko Hayashi
Taro Watanabe
41
1
0
19 Oct 2024
Exploring the traditional NMT model and Large Language Model for chat
  translation
Exploring the traditional NMT model and Large Language Model for chat translation
Jinlong Yang
Hengchao Shang
Daimeng Wei
Jiaxin Guo
Zongyao Li
...
Yuhao Xie
Yuanchang Luo
Jiawei Zheng
Bin Wei
Hao Yang
32
0
0
24 Sep 2024
mbrs: A Library for Minimum Bayes Risk Decoding
mbrs: A Library for Minimum Bayes Risk Decoding
Hiroyuki Deguchi
Yusuke Sakai
Hidetaka Kamigaito
Taro Watanabe
44
3
0
08 Aug 2024
Annotation-Efficient Preference Optimization for Language Model
  Alignment
Annotation-Efficient Preference Optimization for Language Model Alignment
Yuu Jinnai
Ukyo Honda
42
0
0
22 May 2024
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
Yuu Jinnai
Tetsuro Morimura
Kaito Ariu
Kenshi Abe
69
3
0
01 Apr 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
Atsumoto Ohashi
Ukyo Honda
Tetsuro Morimura
Yuu Jinnai
33
2
0
31 Mar 2024
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Julius Cheng
Andreas Vlachos
45
21
0
25 Nov 2023
MBR and QE Finetuning: Training-time Distillation of the Best and Most
  Expensive Decoding Methods
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
M. Finkelstein
Subhajit Naskar
Mehdi Mirzazadeh
Apurva Shah
Markus Freitag
45
26
0
19 Sep 2023
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
175
3,510
0
10 Jun 2015
1