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Structure-Invariant Testing for Machine Translation
v1v2v3 (latest)

Structure-Invariant Testing for Machine Translation

International Conference on Software Engineering (ICSE), 2019
19 July 2019
Pinjia He
Clara Meister
Z. Su
ArXiv (abs)PDFHTML

Papers citing "Structure-Invariant Testing for Machine Translation"

33 / 33 papers shown
Metamorphic Testing of Large Language Models for Natural Language Processing
Metamorphic Testing of Large Language Models for Natural Language ProcessingIEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
Steven Cho
Stefano Ruberto
Valerio Terragni
430
7
0
03 Nov 2025
HInter: Exposing Hidden Intersectional Bias in Large Language Models
HInter: Exposing Hidden Intersectional Bias in Large Language Models
Badr Souani
E. Soremekun
Mike Papadakis
Setsuko Yokoyama
Sudipta Chattopadhyay
Yves Le Traon
363
4
0
15 Mar 2025
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
Jialun Cao
Songqiang Chen
Wuqi Zhang
Hau Ching Lo
Shing-Chi Cheung
328
3
0
16 Nov 2024
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
Zhijie Wang
Zhehua Zhou
Yuheng Huang
Yuheng Huang
Zhan Shu
Lei Ma
LM&Ro
373
5
0
19 Sep 2024
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant
  Detection
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant DetectionIEEE Transactions on Software Engineering (TSE), 2024
J. Su
Jiachi Chen
Zhiyuan Fang
Xingwei Lin
Yutian Tang
Zibin Zheng
294
7
0
14 Jun 2024
Understanding and Addressing the Under-Translation Problem from the
  Perspective of Decoding Objective
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective
Chenze Shao
Fandong Meng
Jiali Zeng
Jie Zhou
246
0
0
29 May 2024
VEglue: Testing Visual Entailment Systems via Object-Aligned Joint
  Erasing
VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasing
Zhiyuan Chang
Mingyang Li
Peng Li
Cheng Li
Qing Wang
265
1
0
05 Mar 2024
Adversarial Testing for Visual Grounding via Image-Aware Property
  Reduction
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction
Zhiyuan Chang
Mingyang Li
Peng Li
Cheng Li
Boyu Wu
Fanjiang Xu
Qing Wang
AAML
286
1
0
02 Mar 2024
Machine Translation Testing via Syntactic Tree Pruning
Machine Translation Testing via Syntactic Tree PruningACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Quanjun Zhang
Juan Zhai
Chunrong Fang
Jiawei Liu
Weisong Sun
Haichuan Hu
Qingyu Wang
326
9
0
01 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML PipelinesACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
416
4
0
31 Dec 2023
Towards General Error Diagnosis via Behavioral Testing in Machine
  Translation
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
Junjie Wu
Lemao Liu
Dit-Yan Yeung
159
2
0
20 Oct 2023
ASTER: Automatic Speech Recognition System Accessibility Testing for
  Stutterers
ASTER: Automatic Speech Recognition System Accessibility Testing for StutterersInternational Conference on Automated Software Engineering (ASE), 2023
Yi Liu
Yuekang Li
Gelei Deng
Felix Juefei Xu
Yao Du
Cen Zhang
Chengwei Liu
Yeting Li
Lei Ma
Yang Liu
170
6
0
30 Aug 2023
Automated Testing and Improvement of Named Entity Recognition Systems
Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu
Yi-Nuo Hu
Qiuyang Mang
Wen-Ying Hu
Pinjia He
294
15
0
14 Aug 2023
Leveraging GPT-4 for Automatic Translation Post-Editing
Leveraging GPT-4 for Automatic Translation Post-EditingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Vikas Raunak
Amr Sharaf
Yiren Wang
H. Awadallah
Arul Menezes
286
98
0
24 May 2023
Towards Reliable Neural Machine Translation with Consistency-Aware
  Meta-Learning
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Rongxiang Weng
Qiang Wang
Wensen Cheng
Changfeng Zhu
Min Zhang
366
3
0
20 Mar 2023
MTTM: Metamorphic Testing for Textual Content Moderation Software
MTTM: Metamorphic Testing for Textual Content Moderation SoftwareInternational Conference on Software Engineering (ICSE), 2023
Wenxuan Wang
Shu Yang
Weibin Wu
Jianping Zhang
Yizhan Huang
Shuqing Li
Pinjia He
Michael Lyu
178
48
0
11 Feb 2023
Automating Code-Related Tasks Through Transformers: The Impact of
  Pre-training
Automating Code-Related Tasks Through Transformers: The Impact of Pre-trainingInternational Conference on Software Engineering (ICSE), 2023
Rosalia Tufano
L. Pascarella
Gabriele Bavota
242
22
0
08 Feb 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior
Improving Human-AI Collaboration With Descriptions of AI Behavior
Ángel Alexander Cabrera
Adam Perer
Jason I. Hong
344
84
0
06 Jan 2023
LLMEffiChecker: Understanding and Testing Efficiency Degradation of
  Large Language Models
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Simin Chen
Cong Liu
Mirazul Haque
Wei Yang
342
34
0
07 Oct 2022
Specifying and Testing $k$-Safety Properties for Machine-Learning Models
Specifying and Testing kkk-Safety Properties for Machine-Learning ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
M. Christakis
Hasan Ferit Eniser
Jörg Hoffmann
Adish Singla
Valentin Wüstholz
237
6
0
13 Jun 2022
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
SALTED: A Framework for SAlient Long-Tail Translation Error DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Vikas Raunak
Matt Post
Arul Menezes
251
28
0
20 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test CasesInternational Symposium on Software Testing and Analysis (ISSTA), 2022
Shu Yang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
219
29
0
13 May 2022
MDPFuzz: Testing Models Solving Markov Decision Processes
MDPFuzz: Testing Models Solving Markov Decision ProcessesInternational Symposium on Software Testing and Analysis (ISSTA), 2021
Qi Pang
Yuanyuan Yuan
Shuai Wang
479
42
0
06 Dec 2021
Provably Valid and Diverse Mutations of Real-World Media Data for DNN
  Testing
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing
Yuanyuan Yuan
Qi Pang
Shuai Wang
DiffMAAMLMedIm
349
9
0
03 Dec 2021
On Neurons Invariant to Sentence Structural Changes in Neural Machine
  Translation
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation
Gal Patel
Leshem Choshen
Omri Abend
349
2
0
06 Oct 2021
Using Metamorphic Relations to Verify and Enhance Artcode Classification
Using Metamorphic Relations to Verify and Enhance Artcode ClassificationJournal of Systems and Software (JSS), 2021
Liming Xu
Dave Towey
Andrew P French
Steve Benford
Z. Zhou
T. Chen
171
11
0
05 Aug 2021
HOMRS: High Order Metamorphic Relations Selector for Deep Neural
  Networks
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks
Florian Tambon
G. Antoniol
Foutse Khomh
AAML
231
1
0
10 Jul 2021
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models
  with Metamorphic Testing
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Pingchuan Ma
Shuai Wang
258
3
0
21 Dec 2020
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
SemMT: A Semantic-based Testing Approach for Machine Translation SystemsACM Transactions on Software Engineering and Methodology (TOSEM), 2020
Jialun Cao
Meiziniu Li
Yeting Li
Ming Wen
Haiming Chen
265
44
0
03 Dec 2020
Probing Model Signal-Awareness via Prediction-Preserving Input
  Minimization
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
406
37
0
25 Nov 2020
Understanding Local Robustness of Deep Neural Networks under Natural
  Variations
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong
Yuchi Tian
Baishakhi Ray
AAML
226
1
0
09 Oct 2020
Testing Machine Translation via Referential Transparency
Testing Machine Translation via Referential Transparency
Pinjia He
Clara Meister
Z. Su
256
61
0
22 Apr 2020
Structured Attention Networks
Structured Attention NetworksInternational Conference on Learning Representations (ICLR), 2017
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
752
486
0
03 Feb 2017
1
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