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Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

5 January 2024
Yuu Jinnai
Kaito Ariu
ArXivPDFHTML

Papers citing "Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding"

12 / 12 papers shown
Title
Mitigating Metric Bias in Minimum Bayes Risk Decoding
Mitigating Metric Bias in Minimum Bayes Risk Decoding
Geza Kovacs
Daniel Deutsch
Markus Freitag
34
6
0
05 Nov 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
33
49
0
24 Jun 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion
  Algorithms
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
Firas Trabelsi
David Vilar
Mara Finkelstein
Markus Freitag
29
6
0
05 Jun 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
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
Jannis Vamvas
Rico Sennrich
42
15
0
06 Feb 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Yuu Jinnai
Ukyo Honda
Tetsuro Morimura
Peinan Zhang
28
6
0
10 Jan 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
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
270
4,229
0
30 Jan 2023
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Understanding Dataset Difficulty with V\mathcal{V}V-Usable Information
Kawin Ethayarajh
Yejin Choi
Swabha Swayamdipta
161
231
0
16 Oct 2021
Facebook AI WMT21 News Translation Task Submission
Facebook AI WMT21 News Translation Task Submission
C. Tran
Shruti Bhosale
James Cross
Philipp Koehn
Sergey Edunov
Angela Fan
VLM
134
81
0
06 Aug 2021
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
6,743
0
26 Sep 2016
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