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2011.00678
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Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
International Conference on Computational Linguistics (COLING), 2020
2 November 2020
Shuhao Gu
Yang Feng
CLL
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Papers citing
"Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation"
15 / 15 papers shown
Conditions for Catastrophic Forgetting in Multilingual Translation
Danni Liu
Jan Niehues
CLL
209
3
0
22 Oct 2025
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Ziqi Jia
Anmin Wang
Xiaoyang Qu
Xiaowen Yang
Jianzong Wang
CLL
297
4
0
05 Jun 2025
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Yunlong Liang
Fandong Meng
Jie Zhou
MoE
250
0
0
20 May 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLL
KELM
275
0
0
16 Feb 2025
Domain adapted machine translation: What does catastrophic forgetting forget and why?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Danielle Saunders
Steve DeNeefe
AI4CE
161
6
0
23 Dec 2024
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Keyu Chen
Zhuang Di
Mingchen Li
J. M. Chang
340
6
0
06 Sep 2023
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content
Charles OÑeill
Jack Miller
I. Ciucă
Y. Ting 丁
Thang Bui
254
10
0
26 Aug 2023
The Effect of Masking Strategies on Knowledge Retention by Language Models
Jonas Wallat
Tianyi Zhang
Avishek Anand
KELM
CLL
151
0
0
12 Jun 2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Simeng Sun
Maha Elbayad
Anna Y. Sun
James Cross
CLL
LRM
303
5
0
07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
954
1,280
0
31 Jan 2023
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Shuhao Gu
Bojie Hu
Yang Feng
CLL
321
24
0
03 Nov 2022
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Chenze Shao
Yang Feng
CLL
238
40
0
08 Mar 2022
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Mozhdeh Gheini
Xiang Ren
Jonathan May
LRM
403
176
0
18 Apr 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Journal of Artificial Intelligence Research (JAIR), 2021
Danielle Saunders
AI4CE
439
112
0
14 Apr 2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Shuhao Gu
Yang Feng
Wanying Xie
CLL
AI4CE
244
33
0
25 Mar 2021
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