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Quality-Aware Decoding for Neural Machine Translation

Quality-Aware Decoding for Neural Machine Translation

2 May 2022
Patrick Fernandes
António Farinhas
Ricardo Rei
José G. C. de Souza
Perez Ogayo
Graham Neubig
André F. T. Martins
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Papers citing "Quality-Aware Decoding for Neural Machine Translation"

44 / 44 papers shown
Title
Calibrating Translation Decoding with Quality Estimation on LLMs
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu
Yibin Lei
Christof Monz
70
0
0
26 Apr 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk
Nico Daheim
Clara Meister
Thomas Möllenhoff
Iryna Gurevych
53
0
0
07 Mar 2025
Learning from others' mistakes: Finetuning machine translation models
  with span-level error annotations
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
Lily H. Zhang
Hamid Dadkhahi
M. Finkelstein
Firas Trabelsi
Jiaming Luo
Markus Freitag
24
0
0
21 Oct 2024
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
29
1
0
19 Oct 2024
Findings of the WMT 2024 Shared Task on Chat Translation
Findings of the WMT 2024 Shared Task on Chat Translation
Wafaa Mohammed
Sweta Agrawal
M. Amin Farajian
Vera Cabarrão
Bryan Eikema
Ana C. Farinha
José G. C. de Souza
19
3
0
15 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk
Better Instruction-Following Through Minimum Bayes Risk
Ian Wu
Patrick Fernandes
Amanda Bertsch
Seungone Kim
Sina Pakazad
Graham Neubig
48
9
0
03 Oct 2024
Is Preference Alignment Always the Best Option to Enhance LLM-Based
  Translation? An Empirical Analysis
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis
Hippolyte Gisserot-Boukhlef
Ricardo Rei
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
Nuno M. Guerreiro
20
2
0
30 Sep 2024
Conformal Prediction for Natural Language Processing: A Survey
Conformal Prediction for Natural Language Processing: A Survey
Margarida M. Campos
António Farinhas
Chrysoula Zerva
Mário A. T. Figueiredo
André F. T. Martins
AI4CE
38
13
0
03 May 2024
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from
  Human Feedback for LLMs
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari
Pranjal Aggarwal
Vishvak Murahari
Tanmay Rajpurohit
A. Kalyan
Karthik Narasimhan
A. Deshpande
Bruno Castro da Silva
21
33
0
12 Apr 2024
Tower: An Open Multilingual Large Language Model for Translation-Related
  Tasks
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
Duarte M. Alves
José P. Pombal
Nuno M. Guerreiro
Pedro H. Martins
Joao Alves
...
Patrick Fernandes
Sweta Agrawal
Pierre Colombo
José G. C. de Souza
André F.T. Martins
LRM
40
128
0
27 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Dennis Ulmer
Chrysoula Zerva
André F. T. Martins
26
11
0
01 Feb 2024
Model-Based Minimum Bayes Risk Decoding for Text Generation
Model-Based Minimum Bayes Risk Decoding for Text Generation
Yuu Jinnai
Tetsuro Morimura
Ukyo Honda
Kaito Ariu
Kenshi Abe
10
6
0
09 Nov 2023
An Empirical Study of Translation Hypothesis Ensembling with Large
  Language Models
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
António Farinhas
José G. C. de Souza
André F. T. Martins
16
8
0
17 Oct 2023
xCOMET: Transparent Machine Translation Evaluation through Fine-grained
  Error Detection
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection
Nuno M. Guerreiro
Ricardo Rei
Daan van Stigt
Luísa Coheur
Pierre Colombo
André F.T. Martins
29
109
0
16 Oct 2023
Calibrating Likelihoods towards Consistency in Summarization Models
Calibrating Likelihoods towards Consistency in Summarization Models
Polina Zablotskaia
Misha Khalman
Rishabh Joshi
Livio Baldini Soares
Shoshana Jakobovits
Joshua Maynez
Shashi Narayan
21
3
0
12 Oct 2023
Quality-Aware Translation Models: Efficient Generation and Quality
  Estimation in a Single Model
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
Christian Tomani
David Vilar
Markus Freitag
Colin Cherry
Subhajit Naskar
Mara Finkelstein
Xavier Garcia
Daniel Cremers
13
2
0
10 Oct 2023
It's MBR All the Way Down: Modern Generation Techniques Through the Lens
  of Minimum Bayes Risk
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
Amanda Bertsch
Alex Xie
Graham Neubig
Matthew R. Gormley
25
31
0
02 Oct 2023
Quantifying the Plausibility of Context Reliance in Neural Machine
  Translation
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti
Grzegorz Chrupala
Malvina Nissim
Arianna Bisazza
27
5
0
02 Oct 2023
Language Model Decoding as Direct Metrics Optimization
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji
Pei Ke
Hongning Wang
Minlie Huang
6
7
0
02 Oct 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
Learning Evaluation Models from Large Language Models for Sequence Generation
Learning Evaluation Models from Large Language Models for Sequence Generation
Chenglong Wang
Hang Zhou
Kai-Chun Chang
Tongran Liu
Chunliang Zhang
Quan Du
Tong Xiao
Yue Zhang
Jingbo Zhu
ELM
34
3
0
08 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan
Nico Daheim
Evgenia Ilia
Dennis Ulmer
Haau-Sing Li
Raquel Fernández
Barbara Plank
Rico Sennrich
Chrysoula Zerva
Wilker Aziz
UQLM
12
39
0
28 Jul 2023
Towards Explainable Evaluation Metrics for Machine Translation
Towards Explainable Evaluation Metrics for Machine Translation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei-Ye Zhao
Yang Gao
Steffen Eger
ELM
12
11
0
22 Jun 2023
EEL: Efficiently Encoding Lattices for Reranking
EEL: Efficiently Encoding Lattices for Reranking
Prasann Singhal
Jiacheng Xu
Xi Ye
Greg Durrett
17
3
0
01 Jun 2023
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and
  Tie Calibration
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration
Daniel Deutsch
George F. Foster
Markus Freitag
4
41
0
23 May 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators
  Against Human Production Variability
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
Mario Giulianelli
Joris Baan
Wilker Aziz
Raquel Fernández
Barbara Plank
UQLM
17
20
0
19 May 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum
  Bayes Risk Decoding for Machine Translation
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
Markus Freitag
Behrooz Ghorbani
Patrick Fernandes
11
40
0
17 May 2023
Exploring Human-Like Translation Strategy with Large Language Models
Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He
Tian Liang
Wenxiang Jiao
Zhuosheng Zhang
Yujiu Yang
Rui Wang
Zhaopeng Tu
Shuming Shi
Xing Wang
13
35
0
06 May 2023
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural
  Language Generation
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes
Aman Madaan
Emmy Liu
António Farinhas
Pedro Henrique Martins
...
José G. C. de Souza
Shuyan Zhou
Tongshuang Wu
Graham Neubig
André F. T. Martins
ALM
106
56
0
01 May 2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
Brian Yan
Jiatong Shi
Yun Tang
H. Inaguma
Yifan Peng
...
Zhaoheng Ni
Moto Hira
Soumi Maiti
J. Pino
Shinji Watanabe
12
20
0
10 Apr 2023
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics
  Without the Reference
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Vilém Zouhar
S. Dhuliawala
Wangchunshu Zhou
Nico Daheim
Tom Kocmi
Yuchen Eleanor Jiang
Mrinmaya Sachan
11
9
0
21 Jan 2023
LENS: A Learnable Evaluation Metric for Text Simplification
LENS: A Learnable Evaluation Metric for Text Simplification
Mounica Maddela
Yao Dou
David Heineman
Wei-ping Xu
19
61
0
19 Dec 2022
A Simple Baseline for Beam Search Reranking
A Simple Baseline for Beam Search Reranking
Lior Vassertail
Omer Levy
11
0
0
17 Dec 2022
Detecting and Mitigating Hallucinations in Machine Translation: Model
  Internal Workings Alone Do Well, Sentence Similarity Even Better
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
David Dale
Elena Voita
Loïc Barrault
Marta R. Costa-jussá
HILM
22
55
0
16 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
17
5
0
22 Nov 2022
Improving abstractive summarization with energy-based re-ranking
Improving abstractive summarization with energy-based re-ranking
Diogo Pernes
Afonso Mendes
André F. T. Martins
21
6
0
27 Oct 2022
On the Limitations of Reference-Free Evaluations of Generated Text
On the Limitations of Reference-Free Evaluations of Generated Text
Daniel Deutsch
Rotem Dror
Dan Roth
27
44
0
22 Oct 2022
Calibrating Sequence likelihood Improves Conditional Language Generation
Calibrating Sequence likelihood Improves Conditional Language Generation
Yao-Min Zhao
Misha Khalman
Rishabh Joshi
Shashi Narayan
Mohammad Saleh
Peter J. Liu
UQLM
18
117
0
30 Sep 2022
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware
  Neural Machine Translation
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation
Artur Nowakowski
Gabriela Pałka
Kamil Guttmann
Miko Pokrywka
12
5
0
07 Sep 2022
Looking for a Needle in a Haystack: A Comprehensive Study of
  Hallucinations in Neural Machine Translation
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation
Nuno M. Guerreiro
Elena Voita
André F. T. Martins
HILM
11
51
0
10 Aug 2022
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
13
45
0
10 Aug 2021
Rethinking embedding coupling in pre-trained language models
Rethinking embedding coupling in pre-trained language models
Hyung Won Chung
Thibault Févry
Henry Tsai
Melvin Johnson
Sebastian Ruder
93
142
0
24 Oct 2020
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
43
185
0
14 Nov 2017
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
208
1,202
0
12 Jun 2017
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