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Hierarchical Transformers Are More Efficient Language Models., , , , , , и . NAACL-HLT (Findings), стр. 1559-1571. Association for Computational Linguistics, (2022)Efficient Transformers with Dynamic Token Pooling., , , и . ACL (1), стр. 6403-6417. Association for Computational Linguistics, (2023)Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference., , , , и . ICML, OpenReview.net, (2024)