Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. - Mu-Chu Lee; Wei-Lin Chiang; Chih-Jen Lin (ICDM, 2015)

Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. - Wei-Lin Chiang; Mu-Chu Lee; Chih-Jen Lin (KDD, 2016)

Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. - Chih-Yang Hsia; Wei-Lin Chiang; Chih-Jen Lin (ACML, 2018)

Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. - Wei-Lin Chiang; Yu-Sheng Li 001; Ching-Pei Lee; Chih-Jen Lin (SDM, 2018)

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. - Wei-Lin Chiang; Xuanqing Liu; Si Si; Yang Li 058; Samy Bengio; Cho-Jui Hsieh (KDD, 2019)

Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. - Yu-Sheng Li 001; Wei-Lin Chiang; Ching-Pei Lee (ICML, 2020)

Balsa: Learning a Query Optimizer Without Expert Demonstrations. - Zongheng Yang; Wei-Lin Chiang; Sifei Luan 001; Gautam Mittal; Michael Luo; Ion Stoica (SIGMOD Conference, 2022)

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. - Lianmin Zheng; Wei-Lin Chiang; Ying Sheng 007; Siyuan Zhuang; Zhanghao Wu; Yonghao Zhuang 001; Zi Lin; Zhuohan Li 001; Dacheng Li; Eric P. Xing; Hao Zhang 025; Joseph E. Gonzalez; et al. (NeurIPS, 2023)

SkyPilot: An Intercloud Broker for Sky Computing. - Zongheng Yang; Zhanghao Wu; Michael Luo; Wei-Lin Chiang; Romil Bhardwaj; Woosuk Kwon; Siyuan Zhuang; Frank Sifei Luan; Gautam Mittal; Scott Shenker; Ion Stoica (NSDI, 2023)

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples. - Shuo Yang; Wei-Lin Chiang; Lianmin Zheng; Joseph E. Gonzalez; Ion Stoica (CoRR, 2023)

LLM-Assisted Code Cleaning For Training Accurate Code Generators. - Naman Jain; Tianjun Zhang; Wei-Lin Chiang; Joseph E. Gonzalez; Koushik Sen; Ion Stoica (ICLR, 2024)

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. - Lianmin Zheng; Wei-Lin Chiang; Ying Sheng 007; Tianle Li; Siyuan Zhuang; Zhanghao Wu; Yonghao Zhuang 001; Zhuohan Li 001; Zi Lin; Eric P. Xing; Joseph E. Gonzalez; Ion Stoica; et al. (ICLR, 2024)

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. - Wei-Lin Chiang; Lianmin Zheng; Ying Sheng 007; Anastasios Nikolas Angelopoulos; Tianle Li; Dacheng Li; Banghua Zhu; Hao Zhang 025; Michael I. Jordan; Joseph E. Gonzalez; Ion Stoica (ICML, 2024)

Can't Be Late: Optimizing Spot Instance Savings under Deadlines. - Zhanghao Wu; Wei-Lin Chiang; Ziming Mao; Zongheng Yang; Eric J. Friedman; Scott Shenker; Ion Stoica (NSDI, 2024)

M 'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity. - Tyler Griggs; Xiaoxuan Liu; Jiaxiang Yu; Doyoung Kim; Wei-Lin Chiang; Alvin Cheung; Ion Stoica (CoRR, 2024)

OR-Bench: An Over-Refusal Benchmark for Large Language Models. - Justin Cui; Wei-Lin Chiang; Ion Stoica; Cho-Jui Hsieh (CoRR, 2024)

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. - Tianle Li; Wei-Lin Chiang; Evan Frick; Lisa Dunlap; Tianhao Wu 002; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (CoRR, 2024)

RouteLLM: Learning to Route LLMs with Preference Data. - Isaac Ong; Amjad Almahairi; Vincent Wu; Wei-Lin Chiang; Tianhao Wu 002; Joseph E. Gonzalez; M. Waleed Kadous; Ion Stoica (CoRR, 2024)

Specifications: The missing link to making the development of LLM systems an engineering discipline. - Ion Stoica; Matei Zaharia; Joseph Gonzalez 001; Ken Goldberg; Koushik Sen; Hao Zhang 025; Anastasios Angelopoulos; Shishir G. Patil; Lingjiao Chen; Wei-Lin Chiang; Jared Quincy Davis (CoRR, 2024)

Towards Robust and Scalable Evaluation for Large Language Models - Wei-Lin Chiang (2024)

VisionArena: 230k Real World User-VLM Conversations with Preference Labels. - Christopher Chou; Lisa Dunlap; Koki Mashita; Krishna Mandal; Trevor Darrell; Ion Stoica; Joseph E. Gonzalez; Wei-Lin Chiang (CVPR, 2025)

SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. - Ziming Mao; Tian Xia; Zhanghao Wu; Wei-Lin Chiang; Tyler Griggs; Romil Bhardwaj; Zongheng Yang; Scott Shenker; Ion Stoica (EuroSys, 2025)

How to Evaluate Reward Models for RLHF. - Evan Frick; Tianle Li; Connor Chen; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Jiantao Jiao; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (ICLR, 2025)

RouteLLM: Learning to Route LLMs from Preference Data. - Isaac Ong; Amjad Almahairi; Vincent Wu; Wei-Lin Chiang; Tianhao Wu 002; Joseph E. Gonzalez; M. Waleed Kadous; Ion Stoica (ICLR, 2025)

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. - Yangsibo Huang; Milad Nasr; Anastasios Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Ken Ziyu Liu; Ion Stoica; Florian Tramèr; et al. (CoRR, 2025)

Copilot Arena: A Platform for Code LLM Evaluation in the Wild. - Wayne Chi; Valerie Chen; Anastasios Nikolas Angelopoulos; Wei-Lin Chiang; Aditya Mittal; Naman Jain; Tianjun Zhang; Ion Stoica; Chris Donahue; Ameet Talwalkar (CoRR, 2025)

Prompt-to-Leaderboard. - Evan Frick; Connor Chen; Joseph Tennyson; Tianle Li; Wei-Lin Chiang; Anastasios N. Angelopoulos; Ion Stoica (CoRR, 2025)

Search Arena: Analyzing Search-Augmented LLMs. - Mihran 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 (CoRR, 2025)

Music Arena: Live Evaluation for Text-to-Music. - Yonghyun Kim; Wayne Chi; Anastasios N. Angelopoulos; Wei-Lin Chiang; Koichi Saito; Shinji Watanabe 001; Yuki Mitsufuji; Chris Donahue (CoRR, 2025)