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Correcting Length Bias in Neural Machine Translation
v1v2 (latest)

Correcting Length Bias in Neural Machine Translation

29 August 2018
Kenton W. Murray
David Chiang
    AIMat
ArXiv (abs)PDFHTML

Papers citing "Correcting Length Bias in Neural Machine Translation"

50 / 112 papers shown
Title
LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
Jiarui Liu
Jivitesh Jain
Mona T. Diab
Nishant Subramani
129
0
0
05 Oct 2025
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Chaoqun Cui
Liangbin Huang
Shijing Wang
Zhe Tong
Zhaolong Huang
Xiao Zeng
Xiaofeng Liu
108
4
0
12 Aug 2025
Length Representations in Large Language Models
Length Representations in Large Language Models
Sangjun Moon
Dasom Choi
Jingun Kwon
Hidetaka Kamigaito
Manabu Okumura
MILM
163
1
0
27 Jul 2025
Controlling Summarization Length Through EOS Token Weighting
Zeno Belligoli
Emmanouil Stergiadis
Eran Fainman
Ilya Gusev
191
1
0
05 Jun 2025
Causal Estimation of Tokenisation Bias
Causal Estimation of Tokenisation BiasAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
211
5
0
03 Jun 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's CharacteristicsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Lorenzo Jaime Yu Flores
Ori Ernst
Jackie Chi Kit Cheung
216
0
0
31 May 2025
Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation
Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation
Caiqi Zhang
Xiaochen Zhu
Chengzu Li
Nigel Collier
Andreas Vlachos
OffRLHILM
235
7
0
29 May 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
Roman Vashurin
Maiya Goloburda
Preslav Nakov
Maxim Panov
184
0
0
25 May 2025
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
TokUR: 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
432
5
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
381
0
0
26 Apr 2025
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Benjamin Lipkin
Benjamin LeBrun
Jacob Hoover Vigly
João Loula
David R. MacIver
...
Robert Bamler
Vikash K. Mansinghka
Timothy J. O'Donnell
Alexander K. Lew
Tim Vieira
339
5
0
07 Apr 2025
CER: Confidence Enhanced Reasoning in LLMs
CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ali Razghandi
Seyed Mohammad Hadi Hosseini
Mahdieh Soleymani Baghshah
LRM
495
7
0
20 Feb 2025
Reliable Text-to-SQL with Adaptive Abstention
Reliable Text-to-SQL with Adaptive Abstention
Kaiwen Chen
Yueting Chen
Xiaohui Yu
Nick Koudas
RALM
277
7
0
18 Jan 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
501
6
0
16 Dec 2024
Label-Confidence-Aware Uncertainty Estimation in Natural Language
  Generation
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
Qinhong Lin
Linna Zhou
Zhongliang Yang
Yuang Cai
HILM
208
1
0
10 Dec 2024
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for
  Accelerating Large VLMs
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMsComputer Vision and Pattern Recognition (CVPR), 2024
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Hao Sun
Yibing Song
Kaidi Wang
Zinan Lin
Yang You
429
22
0
04 Dec 2024
Provable Length Generalization in Sequence Prediction via Spectral
  Filtering
Provable Length Generalization in Sequence Prediction via Spectral Filtering
Annie Marsden
Evan Dogariu
Naman Agarwal
Xinyi Chen
Daniel Suo
Elad Hazan
322
1
0
01 Nov 2024
Post-hoc Reward Calibration: A Case Study on Length Bias
Post-hoc Reward Calibration: A Case Study on Length BiasInternational Conference on Learning Representations (ICLR), 2024
Zeyu Huang
Zihan Qiu
Zili Wang
Edoardo M. Ponti
Ivan Titov
274
11
0
25 Sep 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
350
109
0
24 Jun 2024
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
275
109
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
502
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
197
4
0
05 Jun 2024
Semantic Density: Uncertainty Quantification in Semantic Space for Large
  Language Models
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models
Xin Qiu
Risto Miikkulainen
227
5
0
22 May 2024
Setting up the Data Printer with Improved English to Ukrainian Machine
  Translation
Setting up the Data Printer with Improved English to Ukrainian Machine Translation
Yurii Paniv
Dmytro Chaplynskyi
Nikita Trynus
Volodymyr Kyrylov
AI4CE
250
3
0
23 Apr 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
408
87
0
15 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs
LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang
Fangyu Liu
Marco Basaldella
Nigel Collier
HILM
313
60
0
29 Mar 2024
Sequential Decision-Making for Inline Text Autocomplete
Sequential Decision-Making for Inline Text Autocomplete
Rohan Chitnis
Shentao Yang
A. Geramifard
LRM
224
1
0
21 Mar 2024
Whose wife is it anyway? Assessing bias against same-gender
  relationships in machine translation
Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
Ian Stewart
Amélie Reymond
237
9
0
10 Jan 2024
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation
  Extraction
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2024
Urchade Zaratiana
Nadi Tomeh
Pierre Holat
Thierry Charnois
208
31
0
02 Jan 2024
StarVector: Generating Scalable Vector Graphics Code from Images and Text
StarVector: Generating Scalable Vector Graphics Code from Images and TextComputer Vision and Pattern Recognition (CVPR), 2023
Juan A. Rodriguez
Shubham Agarwal
I. Laradji
Pau Rodríguez
P. Rodríguez
Sai Rajeswar
David Vazquez
Christopher Pal
M. Pedersoli
346
4
0
17 Dec 2023
Code Search Debiasing:Improve Search Results beyond Overall Ranking
  Performance
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance
Sheng Zhang
Hui Li
Yanlin Wang
Zhao Wei
Yong Xiu
Juhong Wang
Rongong Ji
125
3
0
25 Nov 2023
MAP's not dead yet: Uncovering true language model modes by conditioning
  away degeneracy
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy
Davis Yoshida
Kartik Goyal
Kevin Gimpel
MoE
143
1
0
15 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language
  Models
A Survey of Confidence Estimation and Calibration in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Fauzan Farooqui
Fengyu Cai
Yuxia Wang
Heinz Koeppl
Preslav Nakov
Iryna Gurevych
UQCV
449
154
0
14 Nov 2023
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
231
9
0
09 Nov 2023
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded
  Dialogue Generation
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation
Yixin Wan
Fanyou Wu
Weijie Xu
Srinivasan H. Sengamedu
HILM
344
5
0
28 Oct 2023
Formally Specifying the High-Level Behavior of LLM-Based Agents
Formally Specifying the High-Level Behavior of LLM-Based Agents
Mayank Agarwal
Ibrahim Abdelaziz
Ramón Fernández Astudillo
Kinjal Basu
Soham Dan
Yara Rizk
Achille Fokoue
Pavan Kapanipathi
Salim Roukos
Luis A. Lastras
LLMAG
276
14
0
12 Oct 2023
A Long Way to Go: Investigating Length Correlations in RLHF
A Long Way to Go: Investigating Length Correlations in RLHF
Prasann Singhal
Tanya Goyal
Jiacheng Xu
Greg Durrett
471
203
0
05 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
177
44
0
02 Oct 2023
Chunked Attention-based Encoder-Decoder Model for Streaming Speech
  Recognition
Chunked Attention-based Encoder-Decoder Model for Streaming Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Mohammad Zeineldeen
Albert Zeyer
Ralf Schluter
Hermann Ney
AuLLM
277
9
0
15 Sep 2023
On the Depth between Beam Search and Exhaustive Search for Text
  Generation
On the Depth between Beam Search and Exhaustive Search for Text Generation
Yuu Jinnai
Tetsuro Morimura
Ukyo Honda
145
2
0
25 Aug 2023
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 RecognitionInterspeech (Interspeech), 2023
E. Tsunoo
Hayato Futami
Yosuke Kashiwagi
Siddhant Arora
Shinji Watanabe
176
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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 PlannersConference on Robot Learning (CoRL), 2023
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
441
298
0
04 Jul 2023
Length Generalization in Arithmetic Transformers
Length Generalization in Arithmetic Transformers
Samy Jelassi
Stéphane dÁscoli
Carles Domingo-Enrich
Yuhuai Wu
Yuan-Fang Li
Franccois Charton
215
52
0
27 Jun 2023
When to Read Documents or QA History: On Unified and Selective
  Open-domain QA
When to Read Documents or QA History: On Unified and Selective Open-domain QAAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Kyungjae Lee
Sanghyun Han
Seung-won Hwang
Moontae Lee
RALM
160
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0
07 Jun 2023
Sequential Monte Carlo Steering of Large Language Models using
  Probabilistic Programs
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander K. Lew
Tan Zhi-Xuan
Gabriel Grand
Vikash K. Mansinghka
LLMSVLRM
418
56
0
05 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Shiyu Huang
Bingzhe Wu
BDL
250
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05 Jun 2023
Utility-Probability Duality of Neural Networks
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Bojun Huang
Fei Yuan
UQCV
204
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Neural Machine Translation For Low Resource Languages
Neural Machine Translation For Low Resource Languages
V. Goyle
Parvathy Krishnaswamy
K. G. Ravikumar
Utsa Chattopadhyay
Kartikay Goyle
72
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End-to-End Speech Recognition: A Survey
End-to-End Speech Recognition: A SurveyIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Rohit Prabhavalkar
Takaaki Hori
Tara N. Sainath
Ralf Schluter
Shinji Watanabe
VLM
256
239
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Interactive Text Generation
Interactive Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Felix Faltings
Michel Galley
Baolin Peng
Kianté Brantley
Weixin Cai
Yizhe Zhang
Jianfeng Gao
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301
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