MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
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Abstract (arXiv)
Manipulating training data leads to robust neural models for MT.
Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Dec 2019.
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Citing papers per year: 2021: 6; 2022: 5; 2023: 3; 2024: 1; 2025: 1; 2026: 1.
17 papers.
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- 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 109
- 2021Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Surveycited by 46
- 2021Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translationcited by 28
- 2022Meta Learning for Natural Language Processing: A Surveycited by 26
- 2021Meta-Transfer Learning for Low-Resource Abstractive Summarizationcited by 14
- 2021Improving Both Domain Robustness and Domain Adaptability in Machine Translationcited by 11
- 2022Improving Automated Program Repair with Domain Adaptationcited by 10
- 2023GLUECons: A Generic Benchmark for Learning Under Constraintscited by 9
- 2022Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitationcited by 8
- 2022Rethinking Round-Trip Translation for Machine Translation Evaluationcited by 4
- 2024CoLLEGe: Concept Embedding Generation for Large Language Modelscited by 3
- 2025BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Taskscited by 2
5 more
- 2022MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classificationcited by 1
- 2023SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarizationcited by 1
- 2021Reinforcement Learning for Few-Shot Text Generation Adaptationcited by 0
- 2023Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translationcited by 0
- 2026Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translationcited by 0
- 2026Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation5 Feb 2026
- 2025BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks21 Oct 2025
- 2024CoLLEGe: Concept Embedding Generation for Large Language Models22 Mar 2024
- 2023Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation6 Sep 2023
- 2023SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization24 Mar 2023
- 2023GLUECons: A Generic Benchmark for Learning Under Constraints16 Feb 2023
- 2022Improving Automated Program Repair with Domain Adaptation21 Dec 2022
- 2022Rethinking Round-Trip Translation for Machine Translation Evaluation15 Sep 2022
- 2022Meta Learning for Natural Language Processing: A Survey3 May 2022
- 2022MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification11 Apr 2022
- 2022Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation22 Mar 2022
- 2021Improving Both Domain Robustness and Domain Adaptability in Machine Translation15 Dec 2021
5 more
- 2021Reinforcement Learning for Few-Shot Text Generation Adaptation22 Nov 2021
- 2021Neural Machine Translation for Low-Resource Languages: A Survey29 Jun 2021
- 2021Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey14 Apr 2021
- 2021Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation3 Mar 2021
- 2021Meta-Transfer Learning for Low-Resource Abstractive Summarization18 Feb 2021
- 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 109
- 2021Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Surveycited by 46
- 2021Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translationcited by 28
- 2022Meta Learning for Natural Language Processing: A Surveycited by 26
- 2021Meta-Transfer Learning for Low-Resource Abstractive Summarizationcited by 14
- 2021Improving Both Domain Robustness and Domain Adaptability in Machine Translationcited by 11
- 2022Improving Automated Program Repair with Domain Adaptationcited by 10
- 2023GLUECons: A Generic Benchmark for Learning Under Constraintscited by 9
- 2022Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitationcited by 8
- 2022Rethinking Round-Trip Translation for Machine Translation Evaluationcited by 4
- 2024CoLLEGe: Concept Embedding Generation for Large Language Modelscited by 3
- 2025BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Taskscited by 2
12 most cited of 17 All 17 (JSON)
- 2026Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation5 Feb 2026
- 2025BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks21 Oct 2025
- 2024CoLLEGe: Concept Embedding Generation for Large Language Models22 Mar 2024
- 2023Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation6 Sep 2023
- 2023SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization24 Mar 2023
- 2023GLUECons: A Generic Benchmark for Learning Under Constraints16 Feb 2023
- 2022Improving Automated Program Repair with Domain Adaptation21 Dec 2022
- 2022Rethinking Round-Trip Translation for Machine Translation Evaluation15 Sep 2022
- 2022Meta Learning for Natural Language Processing: A Survey3 May 2022
- 2022MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification11 Apr 2022
- 2022Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation22 Mar 2022
- 2021Improving Both Domain Robustness and Domain Adaptability in Machine Translation15 Dec 2021
12 newest of 17 All 17 (JSON)