---
title: "Joseph E. Gonzalez — all works — Elamur Research"
description: "All 132 works of Joseph E. Gonzalez in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Joseph E. Gonzalez — all works

132 works · page 1 of 2 · 1–100 · [← Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/)

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1. **[Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena](https://md.research.elamur.ai/free/en/papers/zheng-2023-judging-llm-judge-mt-bench/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 4,573 citations*
2. [**Efficient Memory Management for Large Language Model Serving with PagedAttention arXiv:2309.06180**Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, et al.*2023 · 4,531 citations*](https://md.research.elamur.ai/free/en/papers/kwon-2023-efficient-memory-management-large-language/)
3. **[Apache Spark ↗](https://doi.org/10.1145/2934664) Communications of the ACM · no summary yet**Matei Zaharia et al.*2016 · 2,436 citations*
4. **[SGLang: Efficient Execution of Structured Language Model Programs](https://md.research.elamur.ai/free/en/papers/zheng-2023-sglang-efficient-execution-structured-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.*2023 · 729 citations*
5. **[SkipNet: Learning Dynamic Routing in Convolutional Networks ↗](https://doi.org/10.1007/978-3-030-01261-8_25) Lecture notes in computer science · no summary yet**Xin Wang et al.*2018 · 675 citations*
6. **[Tune: A Research Platform for Distributed Model Selection and Training ↗](https://arxiv.org/abs/1807.05118) arXiv (Cornell University) · no summary yet**Richard Liaw et al.*2018 · 640 citations*
7. **[GraphX ↗](https://doi.org/10.1145/2484425.2484427) no summary yet**Reynold Xin et al.*2013 · 581 citations*
8. [**Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference arXiv:2403.04132**Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.*2024 · 546 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-chatbot-arena-open-platform-evaluating/)
9. **[Gorilla: Large Language Model Connected with Massive APIs](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.*2023 · 546 citations*
10. **[Clipper: A Low-Latency Online Prediction Serving System ↗](https://arxiv.org/abs/1612.03079) arXiv (Cornell University) · no summary yet**Daniel Crankshaw et al.*2016 · 445 citations*
11. **[Cloud Programming Simplified: A Berkeley View on Serverless Computing ↗](https://doi.org/10.4230/oasics.microservices.2020-2022.5) arXiv (Cornell University) · no summary yet**Jonas, Eric et al.*2019 · 422 citations*
12. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU arXiv:2303.06865**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
13. **[RLlib: Abstractions for Distributed Reinforcement Learning ↗](https://arxiv.org/abs/1712.09381) arXiv (Cornell University) · no summary yet**Eric Liang et al.*2017 · 382 citations*
14. **[FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions ↗](https://doi.org/10.1109/cvpr42600.2020.01298) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alvin Wan et al.*2020 · 345 citations*
15. [**Carbon Emissions and Large Neural Network Training arXiv:2104.10350**David Patterson, Joseph Gonzalez, Quoc Le, et al.*2021 · 323 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/)
16. **[Frustratingly Simple Few-Shot Object Detection ↗](https://arxiv.org/abs/2003.06957) arXiv (Cornell University) · no summary yet**Xin Wang et al.*2020 · 311 citations*
17. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset arXiv:2309.11998**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
18. **[Opaque: an oblivious and encrypted distributed analytics platform ↗](https://openalex.org/W2604861932) Networked Systems Design and Implementation · no summary yet**Wenting Zheng et al.*2017 · 220 citations*
19. [**From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline arXiv:2406.11939**Tianle Li, Wei-Lin Chiang, Evan Frick, et al.*2024 · 210 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-crowdsourced-data-high-quality-benchmarks/)
20. **[AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving ↗](https://arxiv.org/abs/2302.11665) OSDI 2023 · no summary yet**Zhuohan Li et al.*2023 · 170 citations*
21. **[A Berkeley View of Systems Challenges for AI ↗](https://arxiv.org/abs/1712.05855) arXiv (Cornell University) · no summary yet**Ion Gabriel Stoica et al.*2017 · 170 citations*
22. **[Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning ↗](https://arxiv.org/abs/1803.00101) arXiv (Cornell University) · no summary yet**Vladimir Feinberg et al.*2018 · 162 citations*
23. **[Contrastive Code Representation Learning ↗](https://aclanthology.org/2021.emnlp-main.482/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Paras Jain et al.*2021 · 147 citations*
24. [**RAFT: Adapting Language Model to Domain Specific RAG arXiv:2403.10131**Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-raft-adapting-language-model-domain/)
25. **[Helen: Maliciously Secure Coopetitive Learning for Linear Models ↗](https://doi.org/10.1109/sp.2019.00045) Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yet**Wenting Zheng et al.*2019 · 135 citations*
26. **[Representing Long-Range Context for Graph Neural Networks with Global Attention ↗](https://arxiv.org/abs/2201.08821) arXiv (Cornell University) · no summary yet**Zhanghao Wu et al.*2022 · 134 citations*
27. **[Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗](https://openalex.org/W3034340181) International Conference on Machine Learning · no summary yet**Zhuohan Li et al.*2020 · 133 citations*
28. **[Ansor: Generating High-Performance Tensor Programs for Deep Learning ↗](https://arxiv.org/abs/2006.06762) arXiv:2006.06762 · no summary yet**Lianmin Zheng et al.*2020 · 130 citations*
29. **[TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning ↗](https://doi.org/10.1109/cvpr.2019.00193) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xin Wang et al.*2019 · 121 citations*
30. **[RouteLLM: Learning to Route LLMs with Preference Data ↗](https://arxiv.org/abs/2406.18665) arXiv:2406.18665 · no summary yet**Isaac Ong et al.*2024 · 109 citations*
31. [**Rethinking Benchmark and Contamination for Language Models with Rephrased Samples arXiv:2311.04850**Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-rethinking-benchmark-contamination-language-models/)
32. **[Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization ↗](https://arxiv.org/abs/1910.02653) MLSys 2020 · no summary yet**Paras Jain et al.*2019 · 98 citations*
33. **[Visual Transformers: Where Do Transformers Really Belong in Vision Models? ↗](https://doi.org/10.1109/iccv48922.2021.00064) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Bichen Wu et al.*2021 · 96 citations*
34. **[Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗](https://arxiv.org/abs/2002.11794) arXiv (Cornell University) · no summary yet**Zhuohan Li et al.*2020 · 93 citations*
35. **[Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles ↗](https://doi.org/10.1109/icra48506.2021.9561747) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Ionel Gog et al.*2021 · 77 citations*
36. **[FetchSGD: Communication-Efficient Federated Learning with Sketching ↗](https://arxiv.org/abs/2007.07682) arXiv (Cornell University) · no summary yet**Daniel Rothchild et al.*2020 · 68 citations*
37. **[Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models ↗](https://arxiv.org/abs/2406.04271) arXiv:2406.04271 · no summary yet**Ling Yang et al.*2024 · 67 citations*
38. **[Multitask Vision-Language Prompt Tuning ↗](https://doi.org/10.1109/wacv57701.2024.00556) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yet**Sheng Shen et al.*2022 · 65 citations*
39. **[Fairness in Serving Large Language Models ↗](https://arxiv.org/abs/2401.00588) arXiv (Cornell University) · no summary yet**Ying Sheng et al.*2023 · 62 citations*
40. **[GraphX: Unifying Data-Parallel and Graph-Parallel Analytics ↗](https://arxiv.org/abs/1402.2394) arXiv (Cornell University) · no summary yet**Reynold Xin et al.*2014 · 58 citations*
41. **[Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly ↗](https://doi.org/10.1007/978-3-031-20059-5_9) Lecture notes in computer science · no summary yet**Spencer Whitehead et al.*2022 · 57 citations*
42. **[LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! ↗](https://arxiv.org/abs/2502.07374) arXiv:2502.07374 · no summary yet**Dacheng Li et al.*2025 · 56 citations*
43. **[Self-Correcting LLM-Controlled Diffusion Models ↗](https://doi.org/10.1109/cvpr52733.2024.00605) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tsung-Han Wu et al.*2024 · 55 citations*
44. **[CLAIR: Evaluating Image Captions with Large Language Models ↗](https://aclanthology.org/2023.emnlp-main.841/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**David M. Chan et al.*2023 · 55 citations*
45. **[Deep Mixture of Experts via Shallow Embedding ↗](https://arxiv.org/abs/1806.01531) arXiv (Cornell University) · no summary yet**Xin Wang et al.*2018 · 54 citations*
46. **[MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ↗](https://arxiv.org/abs/2411.11217) ASPLOS 2025 · no summary yet**Shiyi Cao et al.*2024 · 51 citations*
47. **[FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2 ↗](https://doi.org/10.1109/icra48891.2023.10161307) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Jeffrey Ichnowski et al.*2023 · 46 citations*
48. **[Neural Code Completion ↗](https://openalex.org/W2753108589) no summary yet**Chang Liu et al.*2017 · 46 citations*
49. **[Remembering for the right reasons: Explanations reduce catastrophic forgetting ↗](https://doi.org/10.1002/ail2.44) Applied AI Letters · no summary yet**Sayna Ebrahimi et al.*2021 · 44 citations*
50. **[Dynamic Space-Time Scheduling for GPU Inference ↗](https://arxiv.org/abs/1901.00041) arXiv:1901.00041 · no summary yet**Paras Jain et al.*2018 · 43 citations*
51. **[The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks ↗](https://arxiv.org/abs/2502.08235) arXiv:2502.08235 · no summary yet**Alejandro Cuadron et al.*2025 · 41 citations*
52. **[DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training ↗](https://arxiv.org/abs/2310.03294) arXiv:2310.03294 · no summary yet**Dacheng Li et al.*2023 · 36 citations*
53. **[Autellix: An Efficient Serving Engine for LLM Agents as General Programs ↗](https://arxiv.org/abs/2502.13965) arXiv (Cornell University) · no summary yet**Michael Luo et al.*2025 · 32 citations*
54. **[How to Evaluate Reward Models for RLHF ↗](https://arxiv.org/abs/2410.14872) arXiv:2410.14872 · no summary yet**Evan Frick et al.*2024 · 31 citations*
55. **[Post-Training Sparse Attention with Double Sparsity ↗](https://arxiv.org/abs/2408.07092) arXiv:2408.07092 · no summary yet**Shuo Yang et al.*2024 · 29 citations*
56. **[ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ↗](https://arxiv.org/abs/2104.14129) arXiv (Cornell University) · no summary yet**Jianfei Chen et al.*2021 · 29 citations*
57. **[Robust Object Detection via Instance-Level Temporal Cycle Confusion ↗](https://doi.org/10.1109/iccv48922.2021.00901) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xin Wang et al.*2021 · 29 citations*
58. **[MoE-L ightning : High-Throughput MoE Inference on Memory-constrained GPUs ↗](https://doi.org/10.1145/3669940.3707267) ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yet**Shiyi Cao et al.*2025 · 28 citations*
59. **[Describing Differences in Image Sets with Natural Language ↗](https://doi.org/10.1109/cvpr52733.2024.02284) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lisa Dunlap et al.*2024 · 28 citations*
60. **[Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks ↗](https://doi.org/10.1145/3341216.3342212) no summary yet**Vidit Saxena et al.*2019 · 27 citations*
61. **[S*: Test Time Scaling for Code Generation ↗](https://aclanthology.org/2025.findings-emnlp.865/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Dacheng Li et al.*2025 · 26 citations*
62. **[TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers ↗](https://openalex.org/W3207748736) neural information processing systems · no summary yet**Lianmin Zheng et al.*2021 · 25 citations*
63. **[ALOHa: A New Measure for Hallucination in Captioning Models ↗](https://aclanthology.org/2024.naacl-short.30/) 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 yet**Suzanne Petryk et al.*2024 · 22 citations*
64. **[See, Say, and Segment: Teaching LMMs to Overcome False Premises ↗](https://doi.org/10.1109/cvpr52733.2024.01278) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tsung-Han Wu et al.*2024 · 22 citations*
65. **[Leveraging Cloud Computing to Make Autonomous Vehicles Safer ↗](https://doi.org/10.1109/iros55552.2023.10341821) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Peter Schafhalter et al.*2023 · 22 citations*
66. **[On Guiding Visual Attention with Language Specification ↗](https://doi.org/10.1109/cvpr52688.2022.01756) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Suzanne Petryk et al.*2022 · 22 citations*
67. **[Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing ↗](https://doi.org/10.1109/icra40945.2020.9196651) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Jeffrey Ichnowski et al.*2020 · 22 citations*
68. **[K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model ↗](https://arxiv.org/abs/2602.19128) arXiv:2602.19128 · no summary yet**Shiyi Cao et al.*2026 · 21 citations*
69. **[On Optimizing the Communication of Model Parallelism ↗](https://arxiv.org/abs/2211.05322) arXiv (Cornell University) · no summary yet**Yonghao Zhuang et al.*2022 · 21 citations*
70. **[Accelerating Quadratic Optimization with Reinforcement Learning ↗](https://arxiv.org/abs/2107.10847) arXiv (Cornell University) · no summary yet**Jeffrey Ichnowski et al.*2021 · 21 citations*
71. **[A View on Deep Reinforcement Learning in System Optimization ↗](https://arxiv.org/abs/1908.01275) arXiv (Cornell University) · no summary yet**Ameer Haj-Ali et al.*2019 · 21 citations*
72. **[MLSys: The New Frontier of Machine Learning Systems ↗](https://arxiv.org/abs/1904.03257) arXiv (Cornell University) · no summary yet**Alexander Ratner et al.*2019 · 19 citations*
73. **[Decomposing Complex Queries for Tip-of-the-tongue Retrieval ↗](https://aclanthology.org/2023.findings-emnlp.367/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Kevin Lin et al.*2023 · 18 citations*
74. **[POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ↗](https://arxiv.org/abs/2207.07697) arXiv (Cornell University) · no summary yet**Shishir G. Patil et al.*2022 · 18 citations*
75. **[LLM-Assisted Code Cleaning For Training Accurate Code Generators ↗](https://arxiv.org/abs/2311.14904) arXiv:2311.14904 · no summary yet**Naman Jain et al.*2023 · 17 citations*
76. **[Language Models Can Easily Learn to Reason from Demonstrations ↗](https://aclanthology.org/2025.findings-emnlp.866/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Dacheng Li et al.*2025 · 14 citations*
77. **[Sleep-time Compute: Beyond Inference Scaling at Test-time ↗](https://arxiv.org/abs/2504.13171) arXiv (Cornell University) · no summary yet**Kevin Lin et al.*2025 · 12 citations*
78. **[Optimizing LLM Queries in Relational Data Analytics Workloads ↗](https://arxiv.org/abs/2403.05821) arXiv:2403.05821 · no summary yet**Shu Liu et al.*2024 · 12 citations*
79. **[Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays ↗](https://arxiv.org/abs/2210.07259) arXiv (Cornell University) · no summary yet**Jain, Paras et al.*2022 · 12 citations*
80. **[VisionArena: 230K Real World User-VLM Conversations with Preference Labels ↗](https://doi.org/10.1109/cvpr52734.2025.00367) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Christopher Chou et al.*2025 · 11 citations*
81. **[Search Arena: Analyzing Search-Augmented LLMs ↗](https://arxiv.org/abs/2506.05334) arXiv (Cornell University) · no summary yet**Mihran Miroyan et al.*2025 · 11 citations*
82. **[HashAttention: Semantic Sparsity for Faster Inference ↗](https://arxiv.org/abs/2412.14468) arXiv:2412.14468 · no summary yet**Aditya Desai et al.*2024 · 11 citations*
83. **[Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark ↗](https://arxiv.org/abs/2407.13766) arXiv:2407.13766 · no summary yet**Tsung-Han Wu et al.*2024 · 11 citations*
84. **[TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times ↗](https://arxiv.org/abs/2512.16093) arXiv:2512.16093 · no summary yet**Jintao Zhang et al.*2025 · 10 citations*
85. **[Task-Aware Feature Generation for Zero-Shot Compositional Learning ↗](https://arxiv.org/abs/1906.04854) arXiv (Cornell University) · no summary yet**Xin Wang et al.*2019 · 10 citations*
86. **[InferLine: ML Inference Pipeline Composition Framework. ↗](https://arxiv.org/abs/1812.01776) arXiv (Cornell University) · no summary yet**Daniel Crankshaw et al.*2018 · 10 citations*
87. **[Asynchronous Complex Analytics in a Distributed Dataflow Architecture ↗](https://arxiv.org/abs/1510.07092) arXiv (Cornell University) · no summary yet**Joseph E. Gonzalez et al.*2015 · 10 citations*
88. **[VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models ↗](https://arxiv.org/abs/2410.12851) arXiv (Cornell University) · no summary yet**Lisa Dunlap et al.*2024 · 9 citations*
89. **[Stylus: Automatic Adapter Selection for Diffusion Models ↗](https://doi.org/10.52202/079017-1035) neural information processing systems · no summary yet**Michael Luo et al.*2024 · 9 citations*
90. **[Context-Aware Streaming Perception in Dynamic Environments ↗](https://doi.org/10.1007/978-3-031-19839-7_36) Lecture notes in computer science · no summary yet**Gur-Eyal Sela et al.*2022 · 9 citations*
91. **[Simple Token-Level Confidence Improves Caption Correctness ↗](https://doi.org/10.1109/wacv57701.2024.00564) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yet**Suzanne Petryk et al.*9 citations*
92. **[SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent ↗](https://arxiv.org/abs/2511.16108) arXiv (Cornell University) · no summary yet**Shiyi Cao et al.*2025 · 8 citations*
93. **[sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data ↗](https://openalex.org/W3137813374) Proceedings of Machine Learning and Systems · no summary yet**Guanhua Wang et al.*2021 · 8 citations*
94. **[HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline ↗](https://arxiv.org/abs/2001.02338) arXiv (Cornell University) · no summary yet**Richard Liaw et al.*2020 · 8 citations*
95. **[Locality-aware Fair Scheduling in LLM Serving ↗](https://arxiv.org/abs/2501.14312) arXiv (Cornell University) · no summary yet**Shiyi Cao et al.*2025 · 7 citations*
96. **[Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First ↗](https://arxiv.org/abs/2509.00997) arXiv (Cornell University) · no summary yet**Liu, Shu et al.*2025 · 7 citations*
97. **[GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications ↗](https://arxiv.org/abs/2404.06921) arXiv (Cornell University) · no summary yet**Shishir G. Patil et al.*2024 · 7 citations*
98. **[RALF: Accuracy-Aware Scheduling for Feature Store Maintenance ↗](https://doi.org/10.14778/3632093.3632116) Proceedings of the VLDB Endowment · no summary yet**Sarah Wooders et al.*2023 · 7 citations*
99. **[Grounded Graph Decoding improves Compositional Generalization in Question Answering ↗](https://aclanthology.org/2021.findings-emnlp.157/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Yu Gai et al.*2021 · 7 citations*
100. **[C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ↗](https://arxiv.org/abs/2110.12080) arXiv (Cornell University) · no summary yet**Tianjun Zhang et al.*2021 · 7 citations*

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