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Joseph E. Gonzalez — all works

132 works · page 1 of 2 · 1–100 · ← Joseph E. Gonzalez

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  1. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  2. Efficient Memory Management for Large Language Model Serving with PagedAttentionarXiv:2309.06180Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, et al.2023 · 4,531 citations
  3. Apache Spark ↗Communications of the ACM · no summary yetMatei Zaharia et al.2016 · 2,436 citations
  4. SGLang: Efficient Execution of Structured Language Model ProgramsConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 729 citations
  5. SkipNet: Learning Dynamic Routing in Convolutional Networks ↗Lecture notes in computer science · no summary yetXin Wang et al.2018 · 675 citations
  6. Tune: A Research Platform for Distributed Model Selection and Training ↗arXiv (Cornell University) · no summary yetRichard Liaw et al.2018 · 640 citations
  7. GraphX ↗no summary yetReynold Xin et al.2013 · 581 citations
  8. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  9. Gorilla: Large Language Model Connected with Massive APIsConference on Neural Information Processing Systems (NeurIPS)Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 546 citations
  10. Clipper: A Low-Latency Online Prediction Serving System ↗arXiv (Cornell University) · no summary yetDaniel Crankshaw et al.2016 · 445 citations
  11. Cloud Programming Simplified: A Berkeley View on Serverless Computing ↗arXiv (Cornell University) · no summary yetJonas, Eric et al.2019 · 422 citations
  12. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
  13. RLlib: Abstractions for Distributed Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEric Liang et al.2017 · 382 citations
  14. FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAlvin Wan et al.2020 · 345 citations
  15. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
  16. Frustratingly Simple Few-Shot Object Detection ↗arXiv (Cornell University) · no summary yetXin Wang et al.2020 · 311 citations
  17. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetarXiv:2309.11998Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 242 citations
  18. Opaque: an oblivious and encrypted distributed analytics platform ↗Networked Systems Design and Implementation · no summary yetWenting Zheng et al.2017 · 220 citations
  19. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations
  20. AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving ↗OSDI 2023 · no summary yetZhuohan Li et al.2023 · 170 citations
  21. A Berkeley View of Systems Challenges for AI ↗arXiv (Cornell University) · no summary yetIon Gabriel Stoica et al.2017 · 170 citations
  22. Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning ↗arXiv (Cornell University) · no summary yetVladimir Feinberg et al.2018 · 162 citations
  23. Contrastive Code Representation Learning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetParas Jain et al.2021 · 147 citations
  24. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
  25. Helen: Maliciously Secure Coopetitive Learning for Linear Models ↗Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yetWenting Zheng et al.2019 · 135 citations
  26. Representing Long-Range Context for Graph Neural Networks with Global Attention ↗arXiv (Cornell University) · no summary yetZhanghao Wu et al.2022 · 134 citations
  27. Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗International Conference on Machine Learning · no summary yetZhuohan Li et al.2020 · 133 citations
  28. Ansor: Generating High-Performance Tensor Programs for Deep Learning ↗arXiv:2006.06762 · no summary yetLianmin Zheng et al.2020 · 130 citations
  29. TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXin Wang et al.2019 · 121 citations
  30. RouteLLM: Learning to Route LLMs with Preference Data ↗arXiv:2406.18665 · no summary yetIsaac Ong et al.2024 · 109 citations
  31. Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesarXiv:2311.04850Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 103 citations
  32. Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization ↗MLSys 2020 · no summary yetParas Jain et al.2019 · 98 citations
  33. Visual Transformers: Where Do Transformers Really Belong in Vision Models? ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBichen Wu et al.2021 · 96 citations
  34. Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗arXiv (Cornell University) · no summary yetZhuohan Li et al.2020 · 93 citations
  35. Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetIonel Gog et al.2021 · 77 citations
  36. FetchSGD: Communication-Efficient Federated Learning with Sketching ↗arXiv (Cornell University) · no summary yetDaniel Rothchild et al.2020 · 68 citations
  37. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models ↗arXiv:2406.04271 · no summary yetLing Yang et al.2024 · 67 citations
  38. Multitask Vision-Language Prompt Tuning ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetSheng Shen et al.2022 · 65 citations
  39. Fairness in Serving Large Language Models ↗arXiv (Cornell University) · no summary yetYing Sheng et al.2023 · 62 citations
  40. GraphX: Unifying Data-Parallel and Graph-Parallel Analytics ↗arXiv (Cornell University) · no summary yetReynold Xin et al.2014 · 58 citations
  41. Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly ↗Lecture notes in computer science · no summary yetSpencer Whitehead et al.2022 · 57 citations
  42. LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! ↗arXiv:2502.07374 · no summary yetDacheng Li et al.2025 · 56 citations
  43. Self-Correcting LLM-Controlled Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTsung-Han Wu et al.2024 · 55 citations
  44. CLAIR: Evaluating Image Captions with Large Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetDavid M. Chan et al.2023 · 55 citations
  45. Deep Mixture of Experts via Shallow Embedding ↗arXiv (Cornell University) · no summary yetXin Wang et al.2018 · 54 citations
  46. MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ↗ASPLOS 2025 · no summary yetShiyi Cao et al.2024 · 51 citations
  47. FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2 ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetJeffrey Ichnowski et al.2023 · 46 citations
  48. Neural Code Completion ↗no summary yetChang Liu et al.2017 · 46 citations
  49. Remembering for the right reasons: Explanations reduce catastrophic forgetting ↗Applied AI Letters · no summary yetSayna Ebrahimi et al.2021 · 44 citations
  50. Dynamic Space-Time Scheduling for GPU Inference ↗arXiv:1901.00041 · no summary yetParas Jain et al.2018 · 43 citations
  51. The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks ↗arXiv:2502.08235 · no summary yetAlejandro Cuadron et al.2025 · 41 citations
  52. DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training ↗arXiv:2310.03294 · no summary yetDacheng Li et al.2023 · 36 citations
  53. Autellix: An Efficient Serving Engine for LLM Agents as General Programs ↗arXiv (Cornell University) · no summary yetMichael Luo et al.2025 · 32 citations
  54. How to Evaluate Reward Models for RLHF ↗arXiv:2410.14872 · no summary yetEvan Frick et al.2024 · 31 citations
  55. Post-Training Sparse Attention with Double Sparsity ↗arXiv:2408.07092 · no summary yetShuo Yang et al.2024 · 29 citations
  56. ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ↗arXiv (Cornell University) · no summary yetJianfei Chen et al.2021 · 29 citations
  57. Robust Object Detection via Instance-Level Temporal Cycle Confusion ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetXin Wang et al.2021 · 29 citations
  58. MoE-L ightning : High-Throughput MoE Inference on Memory-constrained GPUs ↗ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yetShiyi Cao et al.2025 · 28 citations
  59. Describing Differences in Image Sets with Natural Language ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLisa Dunlap et al.2024 · 28 citations
  60. Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks ↗no summary yetVidit Saxena et al.2019 · 27 citations
  61. S*: Test Time Scaling for Code Generation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetDacheng Li et al.2025 · 26 citations
  62. TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers ↗neural information processing systems · no summary yetLianmin Zheng et al.2021 · 25 citations
  63. ALOHa: A New Measure for Hallucination in Captioning Models ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetSuzanne Petryk et al.2024 · 22 citations
  64. See, Say, and Segment: Teaching LMMs to Overcome False Premises ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTsung-Han Wu et al.2024 · 22 citations
  65. Leveraging Cloud Computing to Make Autonomous Vehicles Safer ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetPeter Schafhalter et al.2023 · 22 citations
  66. On Guiding Visual Attention with Language Specification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSuzanne Petryk et al.2022 · 22 citations
  67. Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetJeffrey Ichnowski et al.2020 · 22 citations
  68. K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model ↗arXiv:2602.19128 · no summary yetShiyi Cao et al.2026 · 21 citations
  69. On Optimizing the Communication of Model Parallelism ↗arXiv (Cornell University) · no summary yetYonghao Zhuang et al.2022 · 21 citations
  70. Accelerating Quadratic Optimization with Reinforcement Learning ↗arXiv (Cornell University) · no summary yetJeffrey Ichnowski et al.2021 · 21 citations
  71. A View on Deep Reinforcement Learning in System Optimization ↗arXiv (Cornell University) · no summary yetAmeer Haj-Ali et al.2019 · 21 citations
  72. MLSys: The New Frontier of Machine Learning Systems ↗arXiv (Cornell University) · no summary yetAlexander Ratner et al.2019 · 19 citations
  73. Decomposing Complex Queries for Tip-of-the-tongue Retrieval ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetKevin Lin et al.2023 · 18 citations
  74. POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ↗arXiv (Cornell University) · no summary yetShishir G. Patil et al.2022 · 18 citations
  75. LLM-Assisted Code Cleaning For Training Accurate Code Generators ↗arXiv:2311.14904 · no summary yetNaman Jain et al.2023 · 17 citations
  76. Language Models Can Easily Learn to Reason from Demonstrations ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetDacheng Li et al.2025 · 14 citations
  77. Sleep-time Compute: Beyond Inference Scaling at Test-time ↗arXiv (Cornell University) · no summary yetKevin Lin et al.2025 · 12 citations
  78. Optimizing LLM Queries in Relational Data Analytics Workloads ↗arXiv:2403.05821 · no summary yetShu Liu et al.2024 · 12 citations
  79. Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays ↗arXiv (Cornell University) · no summary yetJain, Paras et al.2022 · 12 citations
  80. VisionArena: 230K Real World User-VLM Conversations with Preference Labels ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChristopher Chou et al.2025 · 11 citations
  81. Search Arena: Analyzing Search-Augmented LLMs ↗arXiv (Cornell University) · no summary yetMihran Miroyan et al.2025 · 11 citations
  82. HashAttention: Semantic Sparsity for Faster Inference ↗arXiv:2412.14468 · no summary yetAditya Desai et al.2024 · 11 citations
  83. Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark ↗arXiv:2407.13766 · no summary yetTsung-Han Wu et al.2024 · 11 citations
  84. TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times ↗arXiv:2512.16093 · no summary yetJintao Zhang et al.2025 · 10 citations
  85. Task-Aware Feature Generation for Zero-Shot Compositional Learning ↗arXiv (Cornell University) · no summary yetXin Wang et al.2019 · 10 citations
  86. InferLine: ML Inference Pipeline Composition Framework. ↗arXiv (Cornell University) · no summary yetDaniel Crankshaw et al.2018 · 10 citations
  87. Asynchronous Complex Analytics in a Distributed Dataflow Architecture ↗arXiv (Cornell University) · no summary yetJoseph E. Gonzalez et al.2015 · 10 citations
  88. VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models ↗arXiv (Cornell University) · no summary yetLisa Dunlap et al.2024 · 9 citations
  89. Stylus: Automatic Adapter Selection for Diffusion Models ↗neural information processing systems · no summary yetMichael Luo et al.2024 · 9 citations
  90. Context-Aware Streaming Perception in Dynamic Environments ↗Lecture notes in computer science · no summary yetGur-Eyal Sela et al.2022 · 9 citations
  91. Simple Token-Level Confidence Improves Caption Correctness ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetSuzanne Petryk et al.9 citations
  92. SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent ↗arXiv (Cornell University) · no summary yetShiyi Cao et al.2025 · 8 citations
  93. sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data ↗Proceedings of Machine Learning and Systems · no summary yetGuanhua Wang et al.2021 · 8 citations
  94. HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline ↗arXiv (Cornell University) · no summary yetRichard Liaw et al.2020 · 8 citations
  95. Locality-aware Fair Scheduling in LLM Serving ↗arXiv (Cornell University) · no summary yetShiyi Cao et al.2025 · 7 citations
  96. Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First ↗arXiv (Cornell University) · no summary yetLiu, Shu et al.2025 · 7 citations
  97. GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications ↗arXiv (Cornell University) · no summary yetShishir G. Patil et al.2024 · 7 citations
  98. RALF: Accuracy-Aware Scheduling for Feature Store Maintenance ↗Proceedings of the VLDB Endowment · no summary yetSarah Wooders et al.2023 · 7 citations
  99. Grounded Graph Decoding improves Compositional Generalization in Question Answering ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetYu Gai et al.2021 · 7 citations
  100. C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ↗arXiv (Cornell University) · no summary yetTianjun Zhang et al.2021 · 7 citations

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