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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

, , , , , , , , , и . CoRR, (2024)

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Haishi Huang

Feiqing Huang

Zhida Huang

Ying Huang

Haowei Huang

 

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LayoutLM: Pre-training of Text and Layout for Document Image Understanding., , , , , и . CoRR, (2019)MoEC: Mixture of Expert Clusters., , , и . AAAI, стр. 13807-13815. AAAI Press, (2023)MoEC: Mixture of Expert Clusters., , , и . CoRR, (2022)Retentive Network: A Successor to Transformer for Large Language Models, , , , , , , и . (2023)cite arxiv:2307.08621.Transfer Log-based Anomaly Detection with Pseudo Labels., , , , , , и . CNSM, стр. 1-5. IEEE, (2020)Black-box Attacks to Log-based Anomaly Detection., , , , и . CNSM, стр. 310-316. IEEE, (2022)Neural Document Summarization by Jointly Learning to Score and Select Sentences., , , , , и . ACL (1), стр. 654-663. Association for Computational Linguistics, (2018)Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning., , , , , , , и . ACL (1), стр. 15354-15373. Association for Computational Linguistics, (2023)MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers., , , , и . CoRR, (2020)CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation., , , , , , , , и . EMNLP (Findings), стр. 486-496. Association for Computational Linguistics, (2022)