| Judging llm-as-a-judge with mt-bench and chatbot arena L Zheng, WL Chiang, Y Sheng, S Zhuang, Z Wu, Y Zhuang, Z Lin, Z Li, ... Advances in Neural Information Processing Systems 36, 46595-46623, 2023 | 2556* | 2023 |
| Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ... See https://vicuna. lmsys. org (accessed 14 April 2023) 2 (3), 6, 2023 | 2255* | 2023 |
| Efficient memory management for large language model serving with pagedattention W Kwon, Z Li, S Zhuang, Y Sheng, L Zheng, CH Yu, J Gonzalez, H Zhang, ... Proceedings of the 29th Symposium on Operating Systems Principles, 611-626, 2023 | 1017 | 2023 |
| HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu Proceedings of the IEEE international conference on computer vision, 2740-2748, 2015 | 665* | 2015 |
| Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ... 2017 USENIX Annual Technical Conference (USENIX ATC 17), 181-193, 2017 | 501* | 2017 |
| Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing Proceedings of the eleventh european conference on computer systems, 1-16, 2016 | 410 | 2016 |
| Automatic photo adjustment using deep neural networks Z Yan, H Zhang, B Wang, S Paris, Y Yu ACM Transactions on Graphics (TOG) 35 (2), 1-15, 2016 | 324 | 2016 |
| Alpa: Automating inter-and {Intra-Operator} parallelism for distributed deep learning L Zheng, Z Li, H Zhang, Y Zhuang, Z Chen, Y Huang, Y Wang, Y Xu, ... 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI
, 2022 | 319 | 2022 |
| Scan: Structure correcting adversarial network for organ segmentation in chest x-rays W Dai, N Dong, Z Wang, X Liang, H Zhang, EP Xing International Workshop on Deep Learning in Medical Image Analysis, 263-273, 2018 | 280 | 2018 |
| Chatbot arena: An open platform for evaluating llms by human preference WL Chiang, L Zheng, Y Sheng, AN Angelopoulos, T Li, D Li, H Zhang, ... arXiv preprint arXiv:2403.04132, 2024 | 272 | 2024 |
| Recurrent topic-transition gan for visual paragraph generation X Liang, Z Hu, H Zhang, C Gan, EP Xing Proceedings of the IEEE international conference on computer vision, 3362-3371, 2017 | 255 | 2017 |
| Symbolic graph reasoning meets convolutions X Liang, Z Hu, H Zhang, L Lin, EP Xing Advances in neural information processing systems 31, 2018 | 189 | 2018 |
| Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ... 15th {USENIX} Symposium on Operating Systems Design and Implementation
, 2021 | 185 | 2021 |
| A simple framework for open-vocabulary segmentation and detection H Zhang, F Li, X Zou, S Liu, C Li, J Yang, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2023 | 140 | 2023 |
| Generative semantic manipulation with mask-contrasting gan X Liang, H Zhang, L Lin, E Xing Proceedings of the European Conference on Computer Vision (ECCV), 558-573, 2018 | 120* | 2018 |
| {AlpaServe}: Statistical multiplexing with model parallelism for deep learning serving Z Li, L Zheng, Y Zhong, V Liu, Y Sheng, X Jin, Y Huang, Z Chen, H Zhang, ... 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI
, 2023 | 119 | 2023 |
| How Long Can Context Length of Open-Source LLMs truly Promise? D Li, R Shao, A Xie, Y Sheng, L Zheng, J Gonzalez, I Stoica, X Ma, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 117* | 2023 |
| Terapipe: Token-level pipeline parallelism for training large-scale language models Z Li, S Zhuang, S Guo, D Zhuo, H Zhang, D Song, I Stoica International Conference on Machine Learning, 6543-6552, 2021 | 99 | 2021 |
| Toward understanding the impact of staleness in distributed machine learning W Dai, Y Zhou, N Dong, H Zhang, EP Xing arXiv preprint arXiv:1810.03264, 2018 | 92 | 2018 |
| Break the sequential dependency of llm inference using lookahead decoding Y Fu, P Bailis, I Stoica, H Zhang arXiv preprint arXiv:2402.02057, 2024 | 86* | 2024 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
