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Cloud-based Large Language Model (LLM) services often face challenges in achieving low inference latency and meeting Service Level Objectives (SLOs) under dynamic request patterns.
A neural probabilistic language model
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Efficient Memory Management for Large Language Model Serving with PagedAttention. In Proceedings of the 29th Symposium on Operating Systems Principles (Koblenz, Germany) (SOSP ’23) . Association for Computing Machinery, New York, NY, USA, 611–626
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Splitwise: Efficient generative LLM inference using phase splitting. In ISCA
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Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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Taming { \{ Throughput-Latency } \} tradeoff in { \{ LLM } \} inference with { \{ Sarathi-Serve } \} . In 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24) . 117–134
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Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 235) , Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, and Felix Berkenkamp (Eds.). PMLR, 5209–5235
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Jian Chen, Vashisth Tiwari, Ranajoy Sadhukhan, Zhuoming Chen, Jinyuan Shi, Ian En-Hsu Yen, and Beidi Chen. 2024 · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Eagle-2: Faster inference of language models with dynamic draft trees
Yuhui Li, Fangyun Wei, Chao Zhang, and Hongyang Zhang. 2024 · 2024
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Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
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Queue Management for SLO-Oriented Large Language Model Serving. In Proceedings of the 2024 ACM Symposium on Cloud Computing (Redmond, WA, USA) (SoCC ’24) . Association for Computing Machinery, New York, NY, USA, 18–35
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, and Ravishankar Iyer. 2024 · 2024
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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. 2024a · 2024
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BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems
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Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. In Findings of the Association for Computational Linguistics: ACL 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 7655–7671
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Multi-candidate speculative decoding
Sen Yang, Shujian Huang, Xinyu Dai, and Jiajun Chen. 2024 · 2024
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FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping
Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, and Haoran Yang. 2024 · 2024
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Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 11263–11282
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, and Sharad Mehrotra. 2024 · 2024
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{ \{ DistServe } \} : Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. In 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24) . 193–210
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, and Hao Zhang. 2024 · 2024
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DistillSpec: Improving Speculative Decoding via Knowledge Distillation. In The Twelfth International Conference on Learning Representations
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AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding
Zikun Li, Zhuofu Chen, Remi Delacourt, Gabriele Oliaro, Zeyu Wang, Qinghan Chen, Shuhuai Lin, April Yang, Zhihao Zhang, Zhuoming Chen, et al · 2025
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Mooncake: Trading More Storage for Less Computation—A { \{ KVCache-centric } \} Architecture for Serving { \{ LLM } \} Chatbot. In 23rd USENIX Conference on File and Storage Technologies (FAST 25) . 155–170
Ruoyu Qin, Zheming Li, Weiran He, Jialei Cui, Feng Ren, Mingxing Zhang, Yongwei Wu, Weimin Zheng, and Xinran Xu. 2025 · 2025
Closest in time.