ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.03642
  4. Cited By
On Exposure Bias, Hallucination and Domain Shift in Neural Machine
  Translation

On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation

7 May 2020
Chaojun Wang
Rico Sennrich
ArXivPDFHTML

Papers citing "On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation"

50 / 115 papers shown
Title
Understanding and Detecting Hallucinations in Neural Machine Translation
  via Model Introspection
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Weijia Xu
Sweta Agrawal
Eleftheria Briakou
Marianna J. Martindale
Marine Carpuat
HILM
27
46
0
18 Jan 2023
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on
  Simplified Radiology Reports
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick
B. Schachtner
Jakob Dexl
Andreas Mittermeier
Anna Theresa Stüber
...
Tobias Weber
Philipp Wesp
B. Sabel
J. Ricke
Michael Ingrisch
LM&MA
MedIm
123
373
0
30 Dec 2022
Improving Automated Program Repair with Domain Adaptation
Improving Automated Program Repair with Domain Adaptation
Armin Zirak
Hadi Hemmati
16
9
0
21 Dec 2022
Contrastive Learning Reduces Hallucination in Conversations
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun
Zhengliang Shi
Shen Gao
Pengjie Ren
Maarten de Rijke
Z. Ren
42
62
0
20 Dec 2022
Inverse Reinforcement Learning for Text Summarization
Inverse Reinforcement Learning for Text Summarization
Yujiao Fu
Deyi Xiong
Yue Dong
45
4
0
19 Dec 2022
Optimal Transport for Unsupervised Hallucination Detection in Neural
  Machine Translation
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation
Nuno M. Guerreiro
Pierre Colombo
Pablo Piantanida
André F.T. Martins
25
10
0
19 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
33
67
0
16 Dec 2022
Soft Alignment Objectives for Robust Adaptation of Language Generation
Soft Alignment Objectives for Robust Adaptation of Language Generation
Michal vStefánik
Marek Kadlcík
Petr Sojka
27
2
0
29 Nov 2022
Evaluating Parameter Efficient Learning for Generation
Evaluating Parameter Efficient Learning for Generation
Peng-Tao Xu
M. Patwary
Shrimai Prabhumoye
Virginia Adams
R. Prenger
Ming-Yu Liu
Nayeon Lee
M. Shoeybi
Bryan Catanzaro
MoE
33
3
0
25 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
16
56
0
24 Oct 2022
Reinforcement Learning with Large Action Spaces for Neural Machine
  Translation
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Asaf Yehudai
Leshem Choshen
Lior Fox
Omri Abend
18
6
0
06 Oct 2022
Thinking Hallucination for Video Captioning
Thinking Hallucination for Video Captioning
Nasib Ullah
Partha Pratim Mohanta
VLM
36
4
0
28 Sep 2022
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
Yunyi Yang
Hong Ding
Qing Liu
Xiaojun Quan
42
1
0
15 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
19
52
0
10 Aug 2022
Probing Causes of Hallucinations in Neural Machine Translations
Probing Causes of Hallucinations in Neural Machine Translations
Jianhao Yan
Fandong Meng
Jie Zhou
HILM
11
3
0
25 Jun 2022
Methods for Estimating and Improving Robustness of Language Models
Methods for Estimating and Improving Robustness of Language Models
Michal Stefánik
8
1
0
16 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
35
57
0
02 May 2022
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
Nouha Dziri
Ehsan Kamalloo
Sivan Milton
Osmar Zaiane
Mo Yu
E. Ponti
Siva Reddy
HILM
26
87
0
22 Apr 2022
On the Origin of Hallucinations in Conversational Models: Is it the
  Datasets or the Models?
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Nouha Dziri
Sivan Milton
Mo Yu
Osmar Zaiane
Siva Reddy
HILM
19
188
0
17 Apr 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error
  Accumulation in Language Generation
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
Kushal Arora
Layla El Asri
Hareesh Bahuleyan
Jackie C.K. Cheung
29
79
0
03 Apr 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural
  Machine Translation
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
Wenxuan Wang
Wenxiang Jiao
Yongchang Hao
Xing Wang
Shuming Shi
Zhaopeng Tu
Michael Lyu
AIMat
26
26
0
16 Mar 2022
Bridging the Data Gap between Training and Inference for Unsupervised
  Neural Machine Translation
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation
Zhiwei He
Xing Wang
Rui Wang
Shuming Shi
Zhaopeng Tu
12
12
0
16 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua-Hong Wu
HILM
21
27
0
10 Mar 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models
Adaptor: Objective-Centric Adaptation Framework for Language Models
Michal vStefánik
Vít Novotný
Nikola Groverová
Petr Sojka
32
10
0
08 Mar 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
49
2,243
0
08 Feb 2022
Machine-in-the-Loop Rewriting for Creative Image Captioning
Machine-in-the-Loop Rewriting for Creative Image Captioning
Vishakh Padmakumar
He He
56
17
0
07 Nov 2021
Language Models As or For Knowledge Bases
Language Models As or For Knowledge Bases
Simon Razniewski
Andrew Yates
Nora Kassner
G. Weikum
KELM
25
1
0
10 Oct 2021
Do Long-Range Language Models Actually Use Long-Range Context?
Do Long-Range Language Models Actually Use Long-Range Context?
Simeng Sun
Kalpesh Krishna
Andrew Mattarella-Micke
Mohit Iyyer
RALM
25
80
0
19 Sep 2021
Relating Neural Text Degeneration to Exposure Bias
Relating Neural Text Degeneration to Exposure Bias
Ting-Rui Chiang
Yun-Nung Chen
53
17
0
17 Sep 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for
  Neural Machine Translation
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Michalis Korakakis
Andreas Vlachos
CLL
31
2
0
13 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
19
4
0
13 Sep 2021
Fixing exposure bias with imitation learning needs powerful oracles
Fixing exposure bias with imitation learning needs powerful oracles
L. Hormann
Artem Sokolov
26
3
0
09 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine
  Translation: A Multi-Task Learning Approach
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
Víctor M. Sánchez-Cartagena
M. Esplà-Gomis
Juan Antonio Pérez-Ortiz
Felipe Sánchez-Martínez
45
27
0
08 Sep 2021
Survey of Low-Resource Machine Translation
Survey of Low-Resource Machine Translation
Barry Haddow
Rachel Bawden
Antonio Valerio Miceli Barone
Jindvrich Helcl
Alexandra Birch
AIMat
31
148
0
01 Sep 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
S. Clinchant
AAML
29
0
0
01 Sep 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
178
145
0
30 Aug 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
WeChat Neural Machine Translation Systems for WMT21
WeChat Neural Machine Translation Systems for WMT21
Xianfeng Zeng
Yanjun Liu
Ernan Li
Qiu Ran
Fandong Meng
Peng Li
Jinan Xu
Jie Zhou
25
20
0
05 Aug 2021
Boosting Video Captioning with Dynamic Loss Network
Boosting Video Captioning with Dynamic Loss Network
Nasib Ullah
Partha Pratim Mohanta
24
1
0
25 Jul 2021
Modelling Latent Translations for Cross-Lingual Transfer
Modelling Latent Translations for Cross-Lingual Transfer
E. Ponti
Julia Kreutzer
Ivan Vulić
Siva Reddy
32
18
0
23 Jul 2021
Mixed Cross Entropy Loss for Neural Machine Translation
Mixed Cross Entropy Loss for Neural Machine Translation
Haoran Li
Wei Lu
16
16
0
30 Jun 2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine
  Translation
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
Samuel Kiegeland
Julia Kreutzer
AAML
34
46
0
16 Jun 2021
AgreeSum: Agreement-Oriented Multi-Document Summarization
AgreeSum: Agreement-Oriented Multi-Document Summarization
Richard Yuanzhe Pang
Á. Lelkes
Vinh Q. Tran
Cong Yu
8
16
0
04 Jun 2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text
  Generation
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
Peng Wang
Junyang Lin
An Yang
Chang Zhou
Yichang Zhang
Jingren Zhou
Hongxia Yang
26
20
0
31 May 2021
Prevent the Language Model from being Overconfident in Neural Machine
  Translation
Prevent the Language Model from being Overconfident in Neural Machine Translation
Mengqi Miao
Fandong Meng
Yijin Liu
Xiao-Hua Zhou
Jie Zhou
31
40
0
24 May 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
225
143
0
18 Apr 2021
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path
  Grounding
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Nouha Dziri
Andrea Madotto
Osmar Zaiane
A. Bose
HILM
25
131
0
17 Apr 2021
$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues
  via Question Generation and Question Answering
Q2Q^{2}Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Or Honovich
Leshem Choshen
Roee Aharoni
Ella Neeman
Idan Szpektor
Omri Abend
HILM
27
138
0
16 Apr 2021
IGA : An Intent-Guided Authoring Assistant
IGA : An Intent-Guided Authoring Assistant
Simeng Sun
Wenlong Zhao
Varun Manjunatha
R. Jain
Vlad I. Morariu
Franck Dernoncourt
Balaji Vasan Srinivasan
Mohit Iyyer
16
17
0
14 Apr 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
25
85
0
14 Apr 2021
Previous
123
Next