Wei-Lin Chiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | EuroSys | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | RouteLLM: Learning to Route LLMs from Preference Data. | Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica |
| 2025 | ICML | 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 |
| 2025 | ICML | OR-Bench: An Over-Refusal Benchmark for Large Language Models. | Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh |
| 2025 | ICML | Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations. | Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica |
| 2025 | ICML | Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. | 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 Tramr, Chiyuan Zhang |
| 2025 | ICML | From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. | Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica |
| 2024 | ICLR | LLM-Assisted Code Cleaning For Training Accurate Code Generators. | Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica |
| 2024 | ICLR | LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. | 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 | ICML | Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. | 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 | NSDI | 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 |
| 2023 | NSDI | 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 |
| 2022 | SIGMOD | Balsa: Learning a Query Optimizer Without Expert Demonstrations. | Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica |
| 2020 | ICML | Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. | Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee |
| 2019 | KDD | Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. | Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh |
| 2018 | ACML | Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. | Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin |
| 2018 | SDM | Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. | Wei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin |
| 2016 | KDD | Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. | Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin |
| 2015 | ICDM | Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. | Mu-Chu Lee, Wei-Lin Chiang, Chih-Jen Lin |