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CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers.

, , , , , and . COLING, page 1697-1707. International Committee on Computational Linguistics, (2022)

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CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers., , , , , and . COLING, page 1697-1707. International Committee on Computational Linguistics, (2022)SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms., , , , , , , , and . ICML, OpenReview.net, (2024)Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations., , , , , , , and . EMNLP (1), page 3641-3652. Association for Computational Linguistics, (2021)A Hierarchical Explanation Generation Method Based on Feature Interaction Detection., , , and . ACL (Findings), page 12600-12611. Association for Computational Linguistics, (2023)Logic Traps in Evaluating Attribution Scores., , , , , and . ACL (1), page 5911-5922. Association for Computational Linguistics, (2022)Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack., , , , , and . CCL, volume 13603 of Lecture Notes in Computer Science, page 281-297. Springer, (2022)AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies., , , , , , , , , and 17 other author(s). CoRR, (2024)