| 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 | 3024* | 2023 |
| 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, ... ICML 2024, 2024 | 377 | 2024 |
| 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 | 144* | 2023 |
| Dual contradistinctive generative autoencoder G Parmar, D Li, K Lee, Z Tu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 97 | 2021 |
| SLoRA: Scalable Serving of Thousands of LoRA Adapters Y Sheng, S Cao, D Li, C Hooper, N Lee, S Yang, C Chou, B Zhu, L Zheng, ... Proceedings of Machine Learning and Systems 6, 296-311, 2024 | 86* | 2024 |
| Mpcformer: fast, performant and private transformer inference with mpc D Li, R Shao, H Wang, H Guo, EP Xing, H Zhang The Eleventh International Conference on Learning Representations, 2022 | 75 | 2022 |
| Fairness in serving large language models Y Sheng, S Cao, D Li, B Zhu, Z Li, D Zhuo, JE Gonzalez, I Stoica 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI’24), 2023 | 39 | 2023 |
| Vila-u: a unified foundation model integrating visual understanding and generation Y Wu, Z Zhang, J Chen, H Tang, D Li, Y Fang, L Zhu, E Xie, H Yin, L Yi, ... arXiv preprint arXiv:2409.04429, 2024 | 34 | 2024 |
| LongVILA: Scaling Long-Context Visual Language Models for Long Videos F Xue, Y Chen, D Li, Q Hu, L Zhu, X Li, Y Fang, H Tang, S Yang, Z Liu, ... arXiv preprint arXiv:2408.10188, 2024 | 29 | 2024 |
| Sorry-bench: Systematically evaluating large language model safety refusal behaviors T Xie, X Qi, Y Zeng, Y Huang, UM Sehwag, K Huang, L He, B Wei, D Li, ... arXiv preprint arXiv:2406.14598, 2024 | 28 | 2024 |
| Distflashattn: Distributed memory-efficient attention for long-context llms training D Li, R Shao, A Xie, EP Xing, X Ma, I Stoica, JE Gonzalez, H Zhang First Conference on Language Modeling, 2024 | 24* | 2024 |
| Amp: Automatically finding model parallel strategies with heterogeneity awareness D Li, H Wang, E Xing, H Zhang Advances in Neural Information Processing Systems 35, 6630-6639, 2022 | 20 | 2022 |
| NVILA: Efficient frontier visual language models Z Liu, L Zhu, B Shi, Z Zhang, Y Lou, S Yang, H Xi, S Cao, Y Gu, D Li, X Li, ... arXiv preprint arXiv:2412.04468, 2024 | 6 | 2024 |
| Does compressing activations help model parallel training? S Bian, D Li, H Wang, E Xing, S Venkataraman Proceedings of Machine Learning and Systems 6, 239-252, 2024 | 4 | 2024 |
| MPC-Minimized Secure LLM Inference D Rathee, D Li, I Stoica, H Zhang, R Popa arXiv preprint arXiv:2408.03561, 2024 | 3 | 2024 |
| Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity H Xi, S Yang, Y Zhao, C Xu, M Li, X Li, Y Lin, H Cai, J Zhang, D Li, J Chen, ... arXiv preprint arXiv:2502.01776, 2025 | | 2025 |
| Locality-aware Fair Scheduling in LLM Serving S Cao, Y Wang, Z Mao, PL Hsu, L Yin, T Xia, D Li, S Liu, Y Zhang, Y Zhou, ... arXiv preprint arXiv:2501.14312, 2025 | | 2025 |
Ying ShengxAIVerified email at x.ai