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Continual Training of Language Models for Few-Shot Learning.

, , , , , and . EMNLP, page 10205-10216. Association for Computational Linguistics, (2022)

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Class-Incremental Learning based on Label Generation., , , and . ACL (2), page 1263-1276. Association for Computational Linguistics, (2023)Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information., , , , , , , , and . CoRR, (2022)Continual Training of Language Models for Few-Shot Learning., , , , , and . EMNLP, page 10205-10216. Association for Computational Linguistics, (2022)Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations., , , , and . CoRR, (2024)AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks., , , , , , , , , and . ACL (Findings), page 9471-9492. Association for Computational Linguistics, (2023)Adapting a Language Model While Preserving its General Knowledge., , , , , and . CoRR, (2023)Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking., , , , , and . CoRR, (2024)Continual Learning of Language Models., , , , , and . CoRR, (2023)FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information., , , , , , , and . EMNLP, page 8133-8149. Association for Computational Linguistics, (2022)Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models., , , , , and . NAACL-HLT, page 6252-6278. Association for Computational Linguistics, (2024)