Domain-agnostic Question-Answering with Adversarial Training
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Abstract (arXiv)
Adapting models to new domain without finetuning is a challenging problem in deep learning. In this paper, we utilize an adversarial training framework for domain generalization in Question Answering (QA) task. Our model consists of a conventional QA model and a discriminator. The training is performed in the adversarial manner, where the two models constantly compete, so that QA model can learn domain-invariant features. We apply this approach in MRQA Shared Task 2019 and show better performance compared to the baseline model.
Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Oct 2019.
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Citing papers per year: 2021: 4; 2022: 13; 2023: 2; 2024: 2; 2025: 1.
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- 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 97
- 2022On the Domain Adaptation and Generalization of Pretrained Language Models: A Surveycited by 22
- 2021Contrastive Domain Adaptation for Question Answering using Limited Text Corporacited by 20
- 2022Simulating Bandit Learning from User Feedback for Extractive Question Answeringcited by 14
- 2022Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Surveycited by 14
- 2021Learning to Perturb Word Embeddings for Out-of-distribution QAcited by 13
- 2022Defending Against Disinformation Attacks in Open-Domain Question Answeringcited by 12
- 2021Topic Transferable Table Question Answeringcited by 7
- 2022Domain Adaptation for Question Answering via Question Classificationcited by 7
- 2022Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answeringcited by 5
- 2022Combining Data Generation and Active Learning for Low-Resource Question Answeringcited by 5
- 2022Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixupcited by 4
10 more
- 2025Using Large Language Models for education managements in Vietnamese with low resourcescited by 4
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
- 2021Model Agnostic Answer Reranking System for Adversarial Question Answeringcited by 2
- 2022QAGAN: Adversarial Approach To Learning Domain Invariant Language Featurescited by 2
- 2022PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GANcited by 2
- 2022Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptationcited by 2
- 2022QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptationcited by 2
- 2023Out-of-Distribution Generalization in Text Classification: Past, Present, and Futurecited by 1
- 2023DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptationcited by 0
- 2024Domain Adaptation of Multilingual Semantic Search -- Literature Reviewcited by 0
- 2025Using Large Language Models for education managements in Vietnamese with low resources25 Jan 2025
- 2024Domain Adaptation of Multilingual Semantic Search -- Literature Review5 Feb 2024
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends15 Jan 2024
- 2023Out-of-Distribution Generalization in Text Classification: Past, Present, and Future23 May 2023
- 2023DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation4 May 2023
- 2022Defending Against Disinformation Attacks in Open-Domain Question Answering20 Dec 2022
- 2022Combining Data Generation and Active Learning for Low-Resource Question Answering27 Nov 2022
- 2022On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey6 Nov 2022
- 2022QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation19 Oct 2022
- 2022Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup6 Oct 2022
- 2022State-of-the-art generalisation research in NLP: A taxonomy and review6 Oct 2022
- 2022Domain Adaptation for Question Answering via Question Classification12 Sep 2022
10 more
- 2022Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation10 Aug 2022
- 2022Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey5 Aug 2022
- 2022PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN5 Jul 2022
- 2022QAGAN: Adversarial Approach To Learning Domain Invariant Language Features24 Jun 2022
- 2022Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering15 May 2022
- 2022Simulating Bandit Learning from User Feedback for Extractive Question Answering18 Mar 2022
- 2021Topic Transferable Table Question Answering15 Sep 2021
- 2021Contrastive Domain Adaptation for Question Answering using Limited Text Corpora31 Aug 2021
- 2021Learning to Perturb Word Embeddings for Out-of-distribution QA6 May 2021
- 2021Model Agnostic Answer Reranking System for Adversarial Question Answering5 Feb 2021
- 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 97
- 2022On the Domain Adaptation and Generalization of Pretrained Language Models: A Surveycited by 22
- 2021Contrastive Domain Adaptation for Question Answering using Limited Text Corporacited by 20
- 2022Simulating Bandit Learning from User Feedback for Extractive Question Answeringcited by 14
- 2022Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Surveycited by 14
- 2021Learning to Perturb Word Embeddings for Out-of-distribution QAcited by 13
- 2022Defending Against Disinformation Attacks in Open-Domain Question Answeringcited by 12
- 2021Topic Transferable Table Question Answeringcited by 7
- 2022Domain Adaptation for Question Answering via Question Classificationcited by 7
- 2022Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answeringcited by 5
- 2022Combining Data Generation and Active Learning for Low-Resource Question Answeringcited by 5
- 2022Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixupcited by 4
12 most cited of 22 All 22 (JSON)
- 2025Using Large Language Models for education managements in Vietnamese with low resources25 Jan 2025
- 2024Domain Adaptation of Multilingual Semantic Search -- Literature Review5 Feb 2024
- 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends15 Jan 2024
- 2023Out-of-Distribution Generalization in Text Classification: Past, Present, and Future23 May 2023
- 2023DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation4 May 2023
- 2022Defending Against Disinformation Attacks in Open-Domain Question Answering20 Dec 2022
- 2022Combining Data Generation and Active Learning for Low-Resource Question Answering27 Nov 2022
- 2022On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey6 Nov 2022
- 2022QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation19 Oct 2022
- 2022Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup6 Oct 2022
- 2022State-of-the-art generalisation research in NLP: A taxonomy and review6 Oct 2022
- 2022Domain Adaptation for Question Answering via Question Classification12 Sep 2022
12 newest of 22 All 22 (JSON)