Fetching the paper…
Reading the bibliography…
Large Language Models (LLMs), epitomized by ChatGPT's release in late 2022, have revolutionized various industries with their advanced language comprehension.
Fast transformer decoding: One write-head is all you need
Noam Shazeer · 1911
Earlier work this paper cites.
Chatgpt and open-ai models: A preliminary review
Konstantinos I. Roumeliotis and Nikolaos D. Tselikas · 1999
Earlier work this paper cites.
Linformer: Self-attention with linear complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, and Hao Ma · 2006
Earlier work this paper cites.
Longformer: The long-document transformer, 2020
Iz Beltagy, Matthew E. Peters, and Arman Cohan · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
Gpt-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti · 2020
Earlier work this paper cites.
Transformers are RNNs: Fast autoregressive transformers with linear attention
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and François Fleuret · 2020
Earlier work this paper cites.
Revisiting linformer with a modified self-attention with linear complexity
Madhusudan Verma · 2021
Earlier work this paper cites.
Orca: A distributed serving system for Transformer-Based generative models
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, and Byung-Gon Chun · 2022
Earlier work this paper cites.
GQA: Training generalized multi-query transformer models from multi-head checkpoints
Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebron, and Sumit Sanghai · 2023
Earlier work this paper cites.
L-eval: Instituting standardized evaluation for long context language models
Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, and Xipeng Qiu · 2023
Earlier work this paper cites.
Longbench: A bilingual, multitask benchmark for long context understanding
Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, and Juanzi Li · 2023
Earlier work this paper cites.
Adapting language models to compress contexts
Alexis Chevalier, Alexander Wettig, Anirudh Ajith, and Danqi Chen · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
LLMLingua: Compressing prompts for accelerated inference of large language models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
Loogle: Can long-context language models understand long contexts?
Jiaqi Li, Mengmeng Wang, Zilong Zheng, and Muhan Zhang · 2023
Earlier work this paper cites.
Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, and Anshumali Shrivastava · 2023
Earlier work this paper cites.
Landmark attention: Random-access infinite context length for transformers
Amirkeivan Mohtashami and Martin Jaggi · 2023
Earlier work this paper cites.
Learning to compress prompts with gist tokens
Jesse Mu, Xiang Li, and Noah D. Goodman · 2023
Earlier work this paper cites.
RWKV: reinventing rnns for the transformer era
Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, and Rui-Jie Zhu · 2023
Earlier work this paper cites.
Sparq attention: Bandwidth-efficient LLM inference
Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, and Douglas Orr · 2023
Earlier work this paper cites.
ZeroSCROLLS: A zero-shot benchmark for long text understanding
Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, and Omer Levy · 2023
Cited alongside, same era.
Omniquant: Omnidirectionally calibrated quantization for large language models
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, and Ping Luo · 2023
Cited alongside, same era.
Flexgen: High-throughput generative inference of large language models with a single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, and Ce Zhang · 2023
Cited alongside, same era.
A brief overview of chatgpt: The history, status quo and potential future development
Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang · 2023
Cited alongside, same era.
Efficient streaming language models with attention sinks, 2023
Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, and Mike Lewis · 2023
Cited alongside, same era.
LLM maybe longlm: Self-extend LLM context window without tuning
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, and Xia Hu · 2024
Closest in time.
Gear: An efficient kv cache compression recipefor near-lossless generative inference of llm
Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, and Tuo Zhao · 2024
Closest in time.
In search of needles in a 11m haystack: Recurrent memory finds what llms miss
Yuri Kuratov, Aydar Bulatov, Petr Anokhin, Dmitry Sorokin, Artyom Y. Sorokin, and Mikhail Burtsev · 2024
Closest in time.
Infinigen: Efficient generative inference of large language models with dynamic KV cache management
Wonbeom Lee, Jungi Lee, Junghwan Seo, and Jaewoong Sim · 2024
Closest in time.
Infinite-llm: Efficient LLM service for long context with distattention and distributed kvcache
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
H2O: heavy-hitter oracle for efficient generative inference of large language models
Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, and Beidi Chen · 2023
Cited alongside, same era.
Keyformer: Kv cache reduction through key tokens selection for efficient generative inference
Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J Nair, Ilya Soloveychik, and Purushotham Kamath · 2024
Cited alongside, same era.
Simple linear attention language models balance the recall-throughput tradeoff, 2024
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, and Christopher Ré · 2024
Cited alongside, same era.
Reducing transformer key-value cache size with cross-layer attention
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, and Jonathan Ragan-Kelley · 2024
Cited alongside, same era.
Finch: Prompt-guided key-value cache compression, 2024
Giulio Corallo and Paolo Papotti · 2024
Cited alongside, same era.
Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model
DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, and Xiaowen Sun · 2024
Cited alongside, same era.
A simple and effective l 2 {}_{\mbox{2}} norm-based strategy for KV cache compression
Alessio Devoto, Yu Zhao, Simone Scardapane, and Pasquale Minervini · 2024
Cited alongside, same era.
Bin Lin, Tao Peng, Chen Zhang, Minmin Sun, Lanbo Li, Hanyu Zhao, Wencong Xiao, Qi Xu, Xiafei Qiu, Shen Li, Zhigang Ji, Yong Li, and Wei Lin · 2024
Closest in time.
Dynamic memory compression: Retrofitting llms for accelerated inference
Piotr Nawrot, Adrian Lancucki, Marcin Chochowski, David Tarjan, and Edoardo M. Ponti · 2024
Closest in time.
Xl 2 bench: A benchmark for extremely long context understanding with long-range dependencies, 2024
Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, and Piji Li · 2024
Closest in time.
Transformers are multi-state rnns
Matanel Oren, Michael Hassid, Yossi Adi, and Roy Schwartz · 2024
Closest in time.
Anchor-based large language models
Jianhui Pang, Fanghua Ye, Derek F. Wong, and Longyue Wang · 2024
Closest in time.
Mooncake: A kvcache-centric disaggregated architecture for llm serving, 2024
Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, and Xinran Xu · 2024
Closest in time.
Hyun rae Jo and Dongkun Shin · 2024
Closest in time.
Flashattention-3: Fast and accurate attention with asynchrony and low-precision, 2024
Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, and Tri Dao · 2024
Closest in time.
You only cache once: Decoder-decoder architectures for language models
Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, and Furu Wei · 2024
Closest in time.
Razorattention: Efficient kv cache compression through retrieval heads, 2024
Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Shikuan Hong, Yiwu Yao, and Gongyi Wang · 2024
Closest in time.
Model tells you where to merge: Adaptive kv cache merging for llms on long-context tasks, 2024
Zheng Wang, Boxiao Jin, Zhongzhi Yu, and Minjia Zhang · 2024
Closest in time.
Think: Thinner key cache by query-driven pruning, 2024
Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, and Doyen Sahoo · 2024
Closest in time.
Sirllm: Streaming infinite retentive LLM, 2024
Yao Yao, Zuchao Li, and Hai Zhao · 2024
Closest in time.
Chunkattention: Efficient self-attention with prefix-aware KV cache and two-phase partition
Lu Ye, Ze Tao, Yong Huang, and Yang Li · 2024
Closest in time.
Long-context language modeling with parallel context encoding
Howard Yen, Tianyu Gao, and Danqi Chen · 2024
Closest in time.
Effectively compress KV heads for LLM
Hao Yu, Zelan Yang, Shen Li, Yong Li, and Jianxin Wu · 2024
Closest in time.
Wkvquant: Quantizing weight and key/value cache for large language models gains more
Yuxuan Yue, Zhihang Yuan, Haojie Duanmu, Sifan Zhou, Jianlong Wu, and Liqiang Nie · 2024
Closest in time.