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DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and
Generalization of Machine Reading Comprehension in Real-World Applications
Papers citing "DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications"
12 / 12 papers shown
Title |
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![]() OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model
Pre-trained from ScratchScience China Information Sciences (Sci China Inf Sci), 2023 |
![]() The Impacts of Unanswerable Questions on the Robustness of Machine
Reading Comprehension ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
![]() Multitask Pre-training of Modular Prompt for Chinese Few-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022 |












