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Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension.

, , , and . Trans. Assoc. Comput. Linguistics, (2020)

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Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge., , , , and . CoRR, (2020)Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models., , , , , and . CoRR, (2022)SLM: Bridge the thin gap between speech and text foundation models., , , , , , , , , and 8 other author(s). CoRR, (2023)A Study on the Continuous Usage Factors of Perceived Ease of Use, Social Influence, and Performance Expectancy for Elderly People., , , , , , , and . HCI (49), volume 14055 of Lecture Notes in Computer Science, page 28-38. Springer, (2023)Preferences for Chinese TV Dramas and Purchase Intentions of Southeast Asian Audiences., , , and . HCI (14), volume 14024 of Lecture Notes in Computer Science, page 25-37. Springer, (2023)Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models., , , , , , and . CoRR, (2023)DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension., , , , , and . CoRR, (2019)Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension., , , and . CoRR, (2019)Modeling Truth Existence in Truth Discovery., , , , , , and . KDD, page 1543-1552. ACM, (2015)Improving Pre-Trained Multilingual Model with Vocabulary Expansion., , , , and . CoNLL, page 316-327. Association for Computational Linguistics, (2019)