---
title: "Who cites LoongServe: Efficiently Serving — 73 citing papers"
description: "73 papers of the Elamur Research library cite «LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence…"
canonical: "https://research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LoongServe: Efficiently Serving Long-Context…](https://md.research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/) / cited by

# Who cites «LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism»

73 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism»](https://md.research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/)

1. [**Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving FAST 2025**Ruoyu Qin, Zheming Li, Weiran He, et al.*2024 · 161 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-mooncake-kvcache-centric-disaggregated-architecture/)
2. [**Fast Distributed Inference Serving for Large Language Models arXiv 2023**Bingyang Wu, Yinmin Zhong, Zili Zhang, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-fast-distributed-inference-serving-large/)
3. [**A Survey on Efficient Inference for Large Language Models arXiv:2404.14294**Zixuan Zhou, Xuefei Ning, Ke Hong, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-survey-efficient-inference-large-language/)
4. **[Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems](https://md.research.elamur.ai/free/en/papers/miao-2023-towards-efficient-generative-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.*2023 · 110 citations*

69 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/) — LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
