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CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.

, , , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 502-518. Springer, (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)CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection., , , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 502-518. Springer, (2022)Adapting a Language Model While Preserving its General Knowledge., , , , , and . EMNLP, page 10177-10188. Association for Computational Linguistics, (2022)ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems., , , , and . ACL (1), page 4398-4419. Association for Computational Linguistics, (2023)Class Incremental Learning via Likelihood Ratio Based Task Prediction., , , , , and . ICLR, OpenReview.net, (2024)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)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)