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Efficient Streaming Language Models with Attention Sinks., , , , и . CoRR, (2023)Offsite-Tuning: Transfer Learning without Full Model., , и . CoRR, (2023)SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models., , , , и . CoRR, (2022)SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 38087-38099. PMLR, (2023)FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention., , , , и . CoRR, (2023)Sparse and Local Networks for Hypergraph Reasoning., , , и . CoRR, (2023)ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training., , , , , , , , , и . CoRR, (2023)Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks., , , , , , , , и . Mach. Intell. Res., 20 (2): 180-193 (апреля 2023)BitDelta: Your Fine-Tune May Only Be Worth One Bit., , , , , , и . CoRR, (2024)Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks., , , , , , , , и . CoRR, (2021)