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Evaluating Robustness to Input Perturbations for Neural Machine
  Translation

Evaluating Robustness to Input Perturbations for Neural Machine Translation

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
1 May 2020
Xing Niu
Prashant Mathur
Georgiana Dinu
Yaser Al-Onaizan
    AAML
ArXiv (abs)PDFHTML

Papers citing "Evaluating Robustness to Input Perturbations for Neural Machine Translation"

37 / 37 papers shown
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
Alexandre Misrahi
Nadezhda Chirkova
Maxime Louis
Vassilina Nikoulina
RALM
324
2
0
03 Apr 2025
NMT-Obfuscator Attack: Ignore a sentence in translation with only one
  word
NMT-Obfuscator Attack: Ignore a sentence in translation with only one word
Sahar Sadrizadeh
César Descalzo
Ljiljana Dolamic
P. Frossard
AAML
340
0
0
19 Nov 2024
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin
P. Domingues
Claudio S. Pinhanez
450
4
0
03 Jul 2024
What Have We Achieved on Non-autoregressive Translation?
What Have We Achieved on Non-autoregressive Translation?
Yafu Li
Huajian Zhang
Jianhao Yan
Yongjing Yin
Yue Zhang
379
3
0
21 May 2024
Challenges and Opportunities in Text Generation Explainability
Challenges and Opportunities in Text Generation Explainability
Kenza Amara
Rita Sevastjanova
Mennatallah El-Assady
SILM
265
3
0
14 May 2024
An Empirical Study of In-context Learning in LLMs for Machine
  Translation
An Empirical Study of In-context Learning in LLMs for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Pranjal A. Chitale
Jay Gala
Mary Dabre
LRM
500
21
0
22 Jan 2024
Investigating Training Strategies and Model Robustness of Low-Rank
  Adaptation for Language Modeling in Speech Recognition
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition
Yu Yu
Chao-Han Huck Yang
Tuan Dinh
Sungho Ryu
J. Kolehmainen
...
Ankur Gandhe
Ariya Rastrow
Jia Xu
I. Bulyko
A. Stolcke
252
2
0
19 Jan 2024
An Empirical study of Unsupervised Neural Machine Translation: analyzing
  NMT output, model's behavior and sentences' contribution
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution
Isidora Chara Tourni
Derry Wijaya
305
0
0
19 Dec 2023
Evaluating Robustness of Dialogue Summarization Models in the Presence
  of Naturally Occurring Variations
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations
Ankita Gupta
Chulaka Gunasekara
H. Wan
Jatin Ganhotra
Sachindra Joshi
Marina Danilevsky
266
0
0
15 Nov 2023
Explore Spurious Correlations at the Concept Level in Language Models
  for Text Classification
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
LRM
507
52
0
15 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics ModelingInternational Conference on Machine Learning (ICML), 2023
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Luke Huan
AI4CE
366
10
0
11 Nov 2023
Is Robustness Transferable across Languages in Multilingual Neural
  Machine Translation?
Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Leiyu Pan
Supryadi Supryadi
Deyi Xiong
AAML
323
0
0
31 Oct 2023
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAMLSILM
291
4
0
29 Aug 2023
Waffling around for Performance: Visual Classification with Random Words
  and Broad Concepts
Waffling around for Performance: Visual Classification with Random Words and Broad ConceptsIEEE International Conference on Computer Vision (ICCV), 2023
Karsten Roth
Jae Myung Kim
A. Sophia Koepke
Oriol Vinyals
Cordelia Schmid
Zeynep Akata
VLM
281
122
0
12 Jun 2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Pseudo-Label Training and Model Inertia in Neural Machine TranslationInternational Conference on Learning Representations (ICLR), 2023
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
273
3
0
19 May 2023
Open Domain Multi-document Summarization: A Comprehensive Study of Model
  Brittleness under Retrieval
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
John Giorgi
Luca Soldaini
Bo Wang
Gary D. Bader
Kyle Lo
Lucy Lu Wang
Arman Cohan
364
21
0
20 Dec 2022
Improving the Robustness of Summarization Models by Detecting and
  Removing Input Noise
Improving the Robustness of Summarization Models by Detecting and Removing Input NoiseConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kundan Krishna
Yao-Min Zhao
Jie Jessie Ren
Balaji Lakshminarayanan
Jiaming Luo
Mohammad Saleh
Peter J. Liu
179
5
0
20 Dec 2022
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating
  Gender Accuracy in Machine Translation
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Anna Currey
Maria Nadejde
R. Pappagari
Mia C. Mayer
Stanislas Lauly
Xing Niu
B. Hsu
Georgiana Dinu
246
42
0
02 Nov 2022
Checks and Strategies for Enabling Code-Switched Machine Translation
Checks and Strategies for Enabling Code-Switched Machine Translation
Thamme Gowda
Mozhdeh Gheini
Jonathan May
261
3
0
11 Oct 2022
MaxMatch-Dropout: Subword Regularization for WordPiece
MaxMatch-Dropout: Subword Regularization for WordPieceInternational Conference on Computational Linguistics (COLING), 2022
Tatsuya Hiraoka
222
10
0
09 Sep 2022
Rare but Severe Neural Machine Translation Errors Induced by Minimal
  Deletion: An Empirical Study on Chinese and English
Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and EnglishInternational Conference on Computational Linguistics (COLING), 2022
Ruikang Shi
Alvin Grissom II
D. Trinh
232
4
0
05 Sep 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An OverviewACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
J. Herbinger
AI4CE
455
102
0
15 Jun 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with
  Doubly Round-trip Translation
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Siyu Lai
Zhen Yang
Fandong Meng
Xue Zhang
Jinan Xu
Jinan Xu
Jie Zhou
AAMLSILM
208
9
0
19 Apr 2022
On the data requirements of probing
On the data requirements of probingFindings (Findings), 2022
Zining Zhu
Jixuan Wang
Bai Li
Frank Rudzicz
246
5
0
25 Feb 2022
Hierarchical Interpretation of Neural Text Classification
Hierarchical Interpretation of Neural Text ClassificationComputational Linguistics (CL), 2022
Hanqi Yan
Lin Gui
Yulan He
396
17
0
20 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
671
164
0
15 Dec 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
401
77
0
14 Oct 2021
Interpreting the Robustness of Neural NLP Models to Textual
  Perturbations
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
Yunxiang Zhang
Liangming Pan
Samson Tan
Min-Yen Kan
298
24
0
14 Oct 2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine
  Translation
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA), 2021
Weiting Tan
Shuoyang Ding
Huda Khayrallah
Philipp Koehn
SILMAAML
231
1
0
12 Oct 2021
Faithful Target Attribute Prediction in Neural Machine Translation
Faithful Target Attribute Prediction in Neural Machine Translation
Xing Niu
Georgiana Dinu
Prashant Mathur
Anna Currey
200
4
0
24 Sep 2021
Efficient Inference for Multilingual Neural Machine Translation
Efficient Inference for Multilingual Neural Machine Translation
Alexandre Berard
Dain Lee
Stéphane Clinchant
K. Jung
Vassilina Nikoulina
367
13
0
14 Sep 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
Stéphane Clinchant
AAML
285
0
0
01 Sep 2021
Evaluating the Robustness of Neural Language Models to Input
  Perturbations
Evaluating the Robustness of Neural Language Models to Input PerturbationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
M. Moradi
Matthias Samwald
AAML
287
138
0
27 Aug 2021
Sometimes We Want Translationese
Sometimes We Want Translationese
Prasanna Parthasarathi
Koustuv Sinha
J. Pineau
Adina Williams
AAML
263
4
0
15 Apr 2021
On the Robustness of Intent Classification and Slot Labeling in
  Goal-oriented Dialog Systems to Real-world Noise
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
Sailik Sengupta
Jason Krone
Saab Mansour
NoLa
187
14
0
14 Apr 2021
Understanding Pre-Editing for Black-Box Neural Machine Translation
Understanding Pre-Editing for Black-Box Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Rei Miyata
Atsushi Fujita
121
16
0
05 Feb 2021
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on
  User-Generated Contents
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Ryoske Fujii
Masato Mita
Kaori Abe
Kazuaki Hanawa
Makoto Morishita
Jun Suzuki
Kentaro Inui
244
6
0
04 Nov 2020
1
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