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Machine Translation Decoding beyond Beam Search

Machine Translation Decoding beyond Beam Search

12 April 2021
Rémi Leblond
Jean-Baptiste Alayrac
Laurent Sifre
Miruna Pislar
Jean-Baptiste Lespiau
Ioannis Antonoglou
Karen Simonyan
Oriol Vinyals
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Papers citing "Machine Translation Decoding beyond Beam Search"

17 / 17 papers shown
Title
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu
Chih-chan Tien
Peng Ding
Songhao Jiang
Rick L. Stevens
45
4
0
11 Jun 2024
Don't throw away your value model! Generating more preferable text with
  Value-Guided Monte-Carlo Tree Search decoding
Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
Jiacheng Liu
Andrew Cohen
Ramakanth Pasunuru
Yejin Choi
Hannaneh Hajishirzi
Asli Celikyilmaz
24
24
0
26 Sep 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
32
42
0
01 Mar 2023
Tuning computer vision models with task rewards
Tuning computer vision models with task rewards
André Susano Pinto
Alexander Kolesnikov
Yuge Shi
Lucas Beyer
Xiaohua Zhai
VLM
27
40
0
16 Feb 2023
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
Jianhao Yan
Jin Xu
Fandong Meng
Jie Zhou
Yue Zhang
24
3
0
08 Dec 2022
Best-$k$ Search Algorithm for Neural Text Generation
Best-kkk Search Algorithm for Neural Text Generation
Jiacheng Xu
Caiming Xiong
Silvio Savarese
Yingbo Zhou
37
5
0
22 Nov 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning
  Algorithms
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
Surbhi Goel
Sham Kakade
Adam Tauman Kalai
Cyril Zhang
34
1
0
01 Sep 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
144
103
0
05 Jun 2022
Quality-Aware Decoding for Neural Machine Translation
Quality-Aware Decoding for Neural Machine Translation
Patrick Fernandes
António Farinhas
Ricardo Rei
José G. C. de Souza
Perez Ogayo
Graham Neubig
André F. T. Martins
41
57
0
02 May 2022
Enabling arbitrary translation objectives with Adaptive Tree Search
Enabling arbitrary translation objectives with Adaptive Tree Search
Wang Ling
Wojciech Stokowiec
Domenic Donato
Laurent Sartran
Lei Yu
Austin Matthews
Chris Dyer
14
0
0
23 Feb 2022
Generative Cooperative Networks for Natural Language Generation
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier
Thomas Scialom
Antoine Chaffin
Vincent Claveau
Ewa Kijak
Jacopo Staiano
Benjamin Piwowarski
GAN
54
13
0
28 Jan 2022
High Quality Rather than High Model Probability: Minimum Bayes Risk
  Decoding with Neural Metrics
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics
Markus Freitag
David Grangier
Qijun Tan
Bowen Liang
33
92
0
17 Nov 2021
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation
Thomas Scialom
Felix Hill
28
7
0
18 Oct 2021
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided
  MCTS Decoding
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding
Antoine Chaffin
Vincent Claveau
Ewa Kijak
31
36
0
28 Sep 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural
  Machine Translation
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
Bryan Eikema
Wilker Aziz
28
45
0
10 Aug 2021
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
56
185
0
14 Nov 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
6,748
0
26 Sep 2016
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