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Transformer-based long context generative models power emerging AI applications like hour-long video understanding and project-level coding agent.
Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Longt5: Efficient text-to-text transformer for long sequences
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Confident adaptive language modeling
Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, and Donald Metzler · 2022
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Yuhuai Wu, Markus N Rabe, DeLesley Hutchins, and Christian Szegedy · 2022
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Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al · 2023
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Accelerating large language model decoding with speculative sampling
Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, and John Jumper · 2023
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Model tells you what to discard: Adaptive KV cache compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, and Jianfeng Gao · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica · 2023
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Yaniv Leviathan, Matan Kalman, and Yossi Matias · 2023
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Longalign: A recipe for long context alignment of large language models
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Snapkv: Llm knows what you are looking for before generation
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Infinite-llm: Efficient llm service for long context with distattention and distributed kvcache
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Kivi: A tuning-free asymmetric 2bit quantization for kv cache
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Gqa: Training generalized multi-query transformer models from multi-head checkpoints
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Colt5: Faster long-range transformers with conditional computation
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Triforce: Lossless acceleration of long sequence generation with hierarchical speculative decoding
Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, and Beidi Chen
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Retrieval head mechanistically explains long-context factuality
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H2o: Heavy-hitter oracle for efficient generative inference of large language models
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