Wei-Lin Chiang

45 papers A* 16A 2C 1Misc 2Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Copilot Arena: A Platform for Code LLM Evaluation in the Wild. ICML Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025	J	`jnl`	Copilot Arena: A Platform for Code LLM Evaluation in the Wild. CoRR Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
2025	J	`jnl`	EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits. CoRR Wayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue
2025	A*	`conf`	Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. ICML Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramèr, Chiyuan Zhang
2025	J	`jnl`	Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. CoRR 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, Chiyuan Zhang
2025	A*	`conf`	From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. ICML Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	A*	`conf`	How to Evaluate Reward Models for RLHF. ICLR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	—	`conf`	Low-Complexity Separate Channel Estimation for RIS-Aided MIMO Communications. APSIPA Wei-Lin Chiang, Shu-Yu Lin, Jung-Chun Chi, Yuan-Hao Huang
2025	J	`jnl`	Music Arena: Live Evaluation for Text-to-Music. CoRR Yonghyun Kim, Wayne Chi, Anastasios N. Angelopoulos, Wei-Lin Chiang, Koichi Saito, Shinji Watanabe, Yuki Mitsufuji, Chris Donahue
2025	A*	`conf`	OR-Bench: An Over-Refusal Benchmark for Large Language Models. ICML Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
2025	J	`jnl`	Prompt-to-Leaderboard. CoRR Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios N. Angelopoulos, Ion Stoica
2025	A*	`conf`	Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations. ICML Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica
2025	A*	`conf`	RouteLLM: Learning to Route LLMs from Preference Data. ICLR Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica
2025	J	`jnl`	Search Arena: Analyzing Search-Augmented LLMs. CoRR 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
2025	A	`conf`	SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. EuroSys Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica
2025	A*	`conf`	VisionArena: 230k Real World User-VLM Conversations with Preference Labels. CVPR Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang
2024	Misc	`conf`	Can't Be Late: Optimizing Spot Instance Savings under Deadlines. NSDI Zhanghao Wu, Wei-Lin Chiang, Ziming Mao, Zongheng Yang, Eric J. Friedman, Scott Shenker, Ion Stoica
2024	A*	`conf`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. ICML Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	How to Evaluate Reward Models for RLHF. CoRR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios N. Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	A*	`conf`	LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
2024	A*	`conf`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2024	J	`jnl`	M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity. CoRR Tyler Griggs, Xiaoxuan Liu, Jiaxiang Yu, Doyoung Kim, Wei-Lin Chiang, Alvin Cheung, Ion Stoica
2024	J	`jnl`	OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
2024	J	`jnl`	RouteLLM: Learning to Route LLMs with Preference Data. CoRR Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica
2024	J	`jnl`	SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. CoRR Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica
2024	J	`jnl`	Specifications: The missing link to making the development of LLM systems an engineering discipline. CoRR Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis
2024	—	`—`	Towards Robust and Scalable Evaluation for Large Language Models Wei-Lin Chiang
2024	J	`jnl`	VisionArena: 230K Real World User-VLM Conversations with Preference Labels. CoRR Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang
2023	A*	`conf`	Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
2023	J	`jnl`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2023	J	`jnl`	Rethinking Benchmark and Contamination for Language Models with Rephrased Samples. CoRR Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, Joseph E. Gonzalez, Ion Stoica
2023	Misc	`conf`	SkyPilot: An Intercloud Broker for Sky Computing. NSDI Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
2022	—	`conf`	Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
2022	J	`jnl`	Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
2020	A*	`conf`	Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. ICML Yu-Sheng Li, Wei-Lin Chiang, Ching-pei Lee
2019	A*	`conf`	Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
2019	J	`jnl`	Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
2018	A	`conf`	Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. SDM Wei-Lin Chiang, Yu-Sheng Li, Ching-pei Lee, Chih-Jen Lin
2018	C	`conf`	Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. ACML Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin
2016	A*	`conf`	Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. KDD Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin
2015	A*	`conf`	Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. ICDM Mu-Chu Lee, Wei-Lin Chiang, Chih-Jen Lin