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Sequence Parallelism: Making 4D Parallelism Possible., , , and . CoRR, (2021)Iterative Forward Tuning Boosts In-context Learning in Language Models., , , , , and . CoRR, (2023)Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models., and . SemEval@NAACL-HLT, page 1073-1077. Association for Computational Linguistics, (2018)Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers., , , and . IEEE Access, (2020)Recognizing Interaction Activities using Dynamic Bayesian Network., , , and . ICPR (1), page 618-621. IEEE Computer Society, (2006)Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots., , , , , , , and . EMNLP (Findings), page 1820-1836. Association for Computational Linguistics, (2022)Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning., , , , , and . SIGIR, page 174-184. ACM, (2023)Sequence Parallelism: Long Sequence Training from System Perspective., , , , and . ACL (1), page 2391-2404. Association for Computational Linguistics, (2023)Long-Tailed Question Answering in an Open World., , , , and . ACL (1), page 6362-6382. Association for Computational Linguistics, (2023)Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark., , , , , and . ACL (Findings), page 3515-3533. Association for Computational Linguistics, (2023)