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Continual Pre-training of Language Models

, , , , , and . The Eleventh International Conference on Learning Representations, (2023)

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Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction., , and . NPC, volume 11783 of Lecture Notes in Computer Science, page 311-315. Springer, (2019)An Adaptive Flow Table Adjustment Algorithm for SDN., , , and . HPCC/SmartCity/DSS, page 1779-1784. IEEE, (2019)Adapting a Language Model While Preserving its General Knowledge., , , , , and . EMNLP, page 10177-10188. 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)JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models., , , , , , , , , and 2 other author(s). CoRR, (2023)Mutation Relation Extraction and Genes Network Analysis in Colon Cancer., , , and . ICSAI, page 1085-1092. IEEE, (2018)Continual Training of Language Models for Few-Shot Learning., , , , , and . EMNLP, page 10205-10216. Association for Computational Linguistics, (2022)BDDS: An Efficient Data Screening Algorithm Based on Binary Digit., and . CyberC, IEEE, (2018)Continual Learning of Language Models., , , , , and . CoRR, (2023)FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score., and . EMNLP, page 8956-8963. Association for Computational Linguistics, (2023)