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OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization., , , , , , , , , и 8 other автор(ы). CoRR, (2022)Evaluating end-to-end entity linking on domain-specific knowledge bases: Learning about ancient technologies from museum collections., , , , , , и . CoRR, (2023)Text Characterization Toolkit (TCT)., , , , , , и . AACL/IJCNLP (System Demonstrations), стр. 72-87. Association for Computational Linguistics, (2022)Few-shot Learning with Multilingual Generative Language Models., , , , , , , , , и 11 other автор(ы). EMNLP, стр. 9019-9052. Association for Computational Linguistics, (2022)Text Characterization Toolkit., , , , , , и . CoRR, (2022)Few-shot Learning with Multilingual Language Models., , , , , , , , , и 11 other автор(ы). CoRR, (2021)D4: Improving LLM Pretraining via Document De-Duplication and Diversification., , , и . CoRR, (2023)Open Vocabulary Extreme Classification Using Generative Models., , , , , , и . ACL (Findings), стр. 1561-1583. Association for Computational Linguistics, (2022)Understanding In-Context Learning via Supportive Pretraining Data., , , , , и . ACL (1), стр. 12660-12673. Association for Computational Linguistics, (2023)SemDeDup: Data-efficient learning at web-scale through semantic deduplication., , , , и . CoRR, (2023)