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Joseph E. Gonzalez

Identifiers

  • name variant Joseph E. Gonzalez 0.60 · backfill

Papers (45)

  1. Recon: Reconstruction-Guided Reasoning Synthesis for User Modeling cs.CL · 2026 · author #7
  2. Inference Time Context Sparsity: Illusion or Opportunity? cs.AI · 2026 · author #5
  3. optimize_anything: A Universal API for Optimizing any Text Parameter cs.CL · 2026 · author #11
  4. Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs cs.CL · 2026 · author #4
  5. FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale cs.LG · 2026 · author #16
  6. Learning, Fast and Slow: Towards LLMs That Adapt Continually cs.LG · 2026 · author #4
  7. Cooperate to Compete: Strategic Coordination in Multi-Agent Conquest cs.AI · 2026 · author #5
  8. Combee: Scaling Prompt Learning for Self-Improving Language Model Agents cs.AI · 2026 · author #14
  9. vAttention: Verified Sparse Attention cs.LG · 2025 · author #7
  10. How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models cs.LG · 2025 · author #6
  11. Why Do Multi-Agent LLM Systems Fail? cs.AI · 2025 · author #12
  12. RouteLLM: Learning to Route LLMs with Preference Data cs.LG · 2024 · author #6
  13. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline cs.LG · 2024 · author #7
  14. Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference cs.AI · 2024 · author #10
  15. SGLang: Efficient Execution of Structured Language Model Programs cs.AI · 2023 · author #10
  16. MemGPT: Towards LLMs as Operating Systems cs.AI · 2023 · author #7
  17. Efficient Memory Management for Large Language Model Serving with PagedAttention cs.LG · 2023 · author #7
  18. Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cs.CL · 2023 · author #12
  19. Gorilla: Large Language Model Connected with Massive APIs cs.CL · 2023 · author #4
  20. ACE: Adapting to Changing Environments for Semantic Segmentation cs.CV · 2019 · author #3
  21. TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning cs.CV · 2019 · author #5
  22. A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering cs.RO · 2019 · author #4
  23. Cloud Programming Simplified: A Berkeley View on Serverless Computing cs.OS · 2019 · author #11
  24. The OoO VLIW JIT Compiler for GPU Inference cs.DC · 2019 · author #5
  25. Serverless Computing: One Step Forward, Two Steps Back cs.DC · 2018 · author #3
  26. Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification cs.LG · 2018 · author #5
  27. Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video cs.CV · 2018 · author #2
  28. Scaling Video Analytics Systems to Large Camera Deployments cs.DC · 2018 · author #5
  29. Tune: A Research Platform for Distributed Model Selection and Training cs.LG · 2018 · author #5
  30. Deep Mixture of Experts via Shallow Embedding cs.CV · 2018 · author #8
  31. Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation cs.CV · 2018 · author #2
  32. Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning cs.LG · 2018 · author #5
  33. RLlib: Abstractions for Distributed Reinforcement Learning cs.AI · 2017 · author #7
  34. A Berkeley View of Systems Challenges for AI cs.AI · 2017 · author #10
  35. SkipNet: Learning Dynamic Routing in Convolutional Networks cs.CV · 2017 · author #5
  36. Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning cs.AI · 2017 · author #5
  37. IDK Cascades: Fast Deep Learning by Learning not to Overthink cs.CV · 2017 · author #6
  38. Clipper: A Low-Latency Online Prediction Serving System cs.DC · 2016 · author #5
  39. Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies cs.LG · 2016 · author #5
  40. Asynchronous Complex Analytics in a Distributed Dataflow Architecture cs.DB · 2015 · author #1
  41. The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox cs.DB · 2014 · author #3
  42. GraphLab: A New Framework For Parallel Machine Learning cs.LG · 2014 · author #2
  43. GraphX: Unifying Data-Parallel and Graph-Parallel Analytics cs.DB · 2014 · author #4
  44. Optimistic Concurrency Control for Distributed Unsupervised Learning cs.LG · 2013 · author #2
  45. Distributed Parallel Inference on Large Factor Graphs cs.AI · 2012 · author #1

Mentions

  • 1409.3809 #3 · backfill · confidence 0.70 Joseph E. Gonzalez
  • 1408.2041 #2 · backfill · confidence 0.70 Joseph E. Gonzalez
  • 1402.2394 #4 · backfill · confidence 0.70 Joseph E. Gonzalez
  • 1307.8049 #2 · backfill · confidence 0.70 Joseph E. Gonzalez
  • 2605.26969 #7 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez
  • 2510.05688 #7 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez
  • 2605.24168 #5 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez
  • 1205.2645 #1 · backfill · confidence 0.70 Joseph E. Gonzalez
  • 2605.19633 #11 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez
  • 2510.02453 #6 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez
  • 2406.11939 #7 · arxiv_oai · confidence 0.70 Joseph E. Gonzalez

Frequent Coauthors