Gonzalez Group

Enthusiastically Advancing AI Systems at UC Berkeley

Continual Learning Bench LEANN SkyRL TurboDiffusion FrontierCS vCache MAST Search Arena Gorilla MemGPT Chatbot Arena vLLM VisDiff Skyplane SGLang ERDOS
Joseph E. Gonzalez

Joseph E. Gonzalez is an Associate Professor at UC Berkeley, co-director of the Berkeley Sky Computing Lab, and a member of BAIR and LMSYS. His group advances AI systems, including LLM agents, data systems, efficient ML training and inference, and generative model evaluation.

See his CV and Google Scholar page. His students also host a podcast on PhD life.

Alumni

Selected Publications · 2026

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

AuthorsMichael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica
NSDI 2026

vCache: Verified Semantic Prompt Caching

AuthorsLuis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron, Kyle Chu, Shu Liu, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez
ICLR 2026

Search Arena: Analyzing Search-Augmented LLMs

AuthorsMihran Miroyan, Tsung-Han Wu, Logan King, Tianle Li, Jiayi Pan, Xinyan Hu, Wei-Lin Chiang, Anastasios N. Angelopoulos, Trevor Darrell, Narges Norouzi, Joseph E. Gonzalez
ICLR 2026

Characterizing Agents in Production

AuthorsMelissa Z. Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A. Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Quincy Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Koushik Sen, Dawn Song, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia, Marquita Ellis
ICML 2026

Supporting Our AI Overlords: Redesigning Data Systems to Be Agent-First

AuthorsShu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph E. Gonzalez, Aditya G. Parameswaran
CIDR 2026

vAttention: Verified Sparse Attention via Sampling

AuthorsAditya Desai, Kunal Kumar Agrawal, Sehoon Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
ICLR 2026

FrontierCS: Evolving Challenges for Evolving Intelligence

AuthorsQiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Zhaoyang Hong, Alex Gu, Ziyi Zhang, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Suyang Zhong, Junpeng Wang, Donglin Li, Wenyuan Huang, Jialiang Gu, Wesley Zheng, Wangmeiyu Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zhaozi Wang, Zexing Chen, Jingbang Chen, Jialu Zhang, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung
ICML 2026

How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models

AuthorsParth Asawa, Alan Zhu, Abigail O'Neill, Matei Zaharia, Alexandros G. Dimakis, Joseph E. Gonzalez
ICML 2026

Are Large Reasoning Models Interruptible?

AuthorsTsung-Han Wu, Mihran Miroyan, David M. Chan, Trevor Darrell, Narges Norouzi, Joseph E. Gonzalez
ICML 2026

ConServe: Fine-Grained GPU Harvesting for LLM Online and Offline Co-Serving

AuthorsYifan Qiao, Shan Yu, Shu Anzai, Haoran Ma, Shuo Yang, Yang Wang, Miryung Kim, Yongji Wu, Yang Zhou, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica, Harry Xu
ICML 2026

MFCL Audio: An Audio Function Calling Evaluation for Large Language Models

AuthorsHuanzhi Mao, Aditya Ghai, Imra Dawoodani, Tony Ginart, Shishir G. Patil, John Emmons, Joseph E. Gonzalez
ICML 2026

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

AuthorsJintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu
ICLR 2026

Recent Preprints · 2026

View all publications

Recent Activities

  • 2027 · Upcoming: General Chair, Conference on Machine Learning and Systems (MLSys).
  • May 2026: Invited talk at the Samsung Research America AI Summit, “Finding a New North Star for AI Research in the Post AGI Era.”
  • April 2026: Invited faculty talk at the Amazon AI PhD Fellowship Summit, “An Algorithm for Innovation.”
  • 2025–2026: CS Division Vice Chair for Graduate Matters, co-chair of the EECS Graduate Matters Committee, and elected member of Berkeley's Academic Senate Divisional Council.
  • Fall 2025: Co-taught CS 189/289A: Introduction to Machine Learning with Narges Norouzi. Taught Data 100: Principles and Techniques of Data Science in Spring and Fall 2025.
  • September 2025: Invited keynote at the Samsung AI Forum.