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Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation.

, , and . EMNLP, page 6701-6714. Association for Computational Linguistics, (2023)

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Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges., , , , , , , , , and . CoRR, (2024)Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation., , and . EMNLP, page 6701-6714. Association for Computational Linguistics, (2023)Is a Large Language Model a Good Annotator for Event Extraction?, , , and . AAAI, page 17772-17780. AAAI Press, (2024)Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models., , , , , and . CoRR, (2024)Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?, , , , , , , and . CoRR, (2024)Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models., , , , , , and . CoRR, (2024)Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework., , , , and . ACL (1), page 5823-5840. Association for Computational Linguistics, (2023)VMS: Traffic balancing based on virtual switches in datacenter networks., , , , and . ICNP, page 1-10. IEEE Computer Society, (2017)Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation., and . ACL (1), page 2776-2789. Association for Computational Linguistics, (2022)Is ChatGPT a General-Purpose Natural Language Processing Task Solver?, , , , , and . EMNLP, page 1339-1384. Association for Computational Linguistics, (2023)