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Correcting Length Bias in Neural Machine Translation

Correcting Length Bias in Neural Machine Translation

29 August 2018
Kenton W. Murray
David Chiang
    AIMat
ArXivPDFHTML

Papers citing "Correcting Length Bias in Neural Machine Translation"

40 / 40 papers shown
Title
Token-Level Uncertainty Estimation for Large Language Model Reasoning
Tunyu Zhang
Haizhou Shi
Yibin Wang
Hengyi Wang
Xiaoxiao He
...
Ligong Han
Kai Xu
Huatian Zhang
Dimitris N. Metaxas
Hao Wang
LRM
24
0
0
16 May 2025
Calibrating Translation Decoding with Quality Estimation on LLMs
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu
Yibin Lei
Christof Monz
75
0
0
26 Apr 2025
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in
  LLMs
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen
Jiatong Han
Muhammed Razzak
Lisa Schut
Shreshth A. Malik
Yarin Gal
HILM
60
36
0
22 Jun 2024
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
Boxuan Lyu
Hidetaka Kamigaito
Kotaro Funakoshi
Manabu Okumura
43
0
0
17 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of
  LLMs
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao
Stefan Rueger
Advaith Siddharthan
38
1
0
05 Jun 2024
Language Model Cascades: Token-level uncertainty and beyond
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta
Harikrishna Narasimhan
Wittawat Jitkrittum
A. S. Rawat
A. Menon
Sanjiv Kumar
UQLM
55
42
0
15 Apr 2024
Integration of Frame- and Label-synchronous Beam Search for Streaming
  Encoder-decoder Speech Recognition
Integration of Frame- and Label-synchronous Beam Search for Streaming Encoder-decoder Speech Recognition
E. Tsunoo
Hayato Futami
Yosuke Kashiwagi
Siddhant Arora
Shinji Watanabe
30
4
0
24 Jul 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
64
220
0
04 Jul 2023
Utility-Probability Duality of Neural Networks
Utility-Probability Duality of Neural Networks
Bojun Huang
Fei Yuan
UQCV
35
1
0
24 May 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
Monotonic segmental attention for automatic speech recognition
Monotonic segmental attention for automatic speech recognition
Albert Zeyer
Robin Schmitt
Wei Zhou
Ralf Schluter
Hermann Ney
16
8
0
26 Oct 2022
A Continuum of Generation Tasks for Investigating Length Bias and
  Degenerate Repetition
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition
Darcey Riley
David Chiang
26
5
0
19 Oct 2022
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias
  Benchmarks
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
Nikil Selvam
Sunipa Dev
Daniel Khashabi
Tushar Khot
Kai-Wei Chang
ALM
26
25
0
18 Oct 2022
CTC Alignments Improve Autoregressive Translation
CTC Alignments Improve Autoregressive Translation
Brian Yan
Siddharth Dalmia
Yosuke Higuchi
Graham Neubig
Florian Metze
A. Black
Shinji Watanabe
46
33
0
11 Oct 2022
PEER: A Collaborative Language Model
PEER: A Collaborative Language Model
Timo Schick
Jane Dwivedi-Yu
Zhengbao Jiang
Fabio Petroni
Patrick Lewis
Gautier Izacard
Qingfei You
Christoforos Nalmpantis
Edouard Grave
Sebastian Riedel
ALM
54
93
0
24 Aug 2022
Exploring Length Generalization in Large Language Models
Exploring Length Generalization in Large Language Models
Cem Anil
Yuhuai Wu
Anders Andreassen
Aitor Lewkowycz
Vedant Misra
V. Ramasesh
Ambrose Slone
Guy Gur-Ari
Ethan Dyer
Behnam Neyshabur
ReLM
LRM
38
160
0
11 Jul 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
46
57
0
02 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
Bowen Liang
Pidong Wang
Yuan Cao
24
1
0
02 May 2022
A Call for Clarity in Beam Search: How It Works and When It Stops
A Call for Clarity in Beam Search: How It Works and When It Stops
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Dragomir R. Radev
Yejin Choi
Noah A. Smith
28
6
0
11 Apr 2022
On Decoding Strategies for Neural Text Generators
On Decoding Strategies for Neural Text Generators
Gian Wiher
Clara Meister
Ryan Cotterell
30
65
0
29 Mar 2022
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Apoorv Saxena
Adrian Kochsiek
Rainer Gemulla
AIMat
45
120
0
19 Mar 2022
Does Entity Abstraction Help Generative Transformers Reason?
Does Entity Abstraction Help Generative Transformers Reason?
Nicolas Angelard-Gontier
Siva Reddy
C. Pal
34
5
0
05 Jan 2022
A Plug-and-Play Method for Controlled Text Generation
A Plug-and-Play Method for Controlled Text Generation
Damian Pascual
Béni Egressy
Clara Meister
Ryan Cotterell
Roger Wattenhofer
27
89
0
20 Sep 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length
  Bias and Beam-Search Degradation
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
Ivan Provilkov
A. Malinin
25
4
0
13 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
Automatic Document Sketching: Generating Drafts from Analogous Texts
Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu
Michel Galley
Chris Brockett
Yizhe Zhang
Bill Dolan
52
5
0
14 Jun 2021
Searchable Hidden Intermediates for End-to-End Models of Decomposable
  Sequence Tasks
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
Siddharth Dalmia
Brian Yan
Vikas Raunak
Florian Metze
Shinji Watanabe
47
30
0
02 May 2021
Searching for Search Errors in Neural Morphological Inflection
Searching for Search Errors in Neural Morphological Inflection
Martina Forster
Clara Meister
Ryan Cotterell
36
5
0
16 Feb 2021
Early Stage LM Integration Using Local and Global Log-Linear Combination
Early Stage LM Integration Using Local and Global Log-Linear Combination
Wilfried Michel
Ralf Schluter
Hermann Ney
19
11
0
20 May 2020
On Exposure Bias, Hallucination and Domain Shift in Neural Machine
  Translation
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
Chaojun Wang
Rico Sennrich
22
156
0
07 May 2020
Opportunistic Decoding with Timely Correction for Simultaneous
  Translation
Opportunistic Decoding with Timely Correction for Simultaneous Translation
Renjie Zheng
Mingbo Ma
Baigong Zheng
Kaibo Liu
Liang Huang
19
18
0
02 May 2020
Consistency of a Recurrent Language Model With Respect to Incomplete
  Decoding
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Sean Welleck
Ilia Kulikov
Jaedeok Kim
Richard Yuanzhe Pang
Kyunghyun Cho
17
65
0
06 Feb 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
30
313
0
04 Dec 2019
Controlling the Output Length of Neural Machine Translation
Controlling the Output Length of Neural Machine Translation
Surafel Melaku Lakew
Mattia Antonino Di Gangi
Marcello Federico
22
67
0
23 Oct 2019
Automatically Extracting Challenge Sets for Non local Phenomena in
  Neural Machine Translation
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
Leshem Choshen
Omri Abend
19
18
0
15 Sep 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
Felix Stahlberg
Bill Byrne
LRM
19
152
0
27 Aug 2019
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and
  Stopping Criteria for Neural Machine Translation
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Yilin Yang
Liang Huang
Mingbo Ma
28
92
0
28 Aug 2018
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
227
1,211
0
12 Jun 2017
Lexicons and Minimum Risk Training for Neural Machine Translation:
  NAIST-CMU at WAT2016
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016
Graham Neubig
24
28
0
20 Oct 2016
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
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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