Wei-Lin Chiang
16 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(14)
⚡
Prolific Year
(8)
💎
Century Club
(16)
Conferences
ICML (7)
ICLR (4)
NSDI (2)
ACML (1)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
human preference
(2)
preference learning
(1)
multimodal learning
(1)
distributed optimization
(1)
instruction tuning
(1)
linear classification
(1)
communication efficiency
(1)
conjugate gradient
(1)
convergence rate
(1)
benchmark dataset
(1)
vision-language model
(1)
supervised fine-tuning
(1)
evaluation benchmark
(1)
spot instance
(1)
deadline constraint
(1)
cost optimization
(1)
policy design
(1)
uniform progress
(1)
cloud computing
(1)
workload scheduling
(1)
Papers
From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
ICML 2025
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
ICML 2025
OR-Bench: An Over-Refusal Benchmark for Large Language Models
ICML 2025
Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations
ICML 2025
VisionArena: 230k Real World User-VLM Conversations with Preference Labels
CVPR 2025
How to Evaluate Reward Models for RLHF
ICLR 2025
RouteLLM: Learning to Route LLMs from Preference Data
ICLR 2025
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
ICML 2025
Can't Be Late: Optimizing Spot Instance Savings under Deadlines
NSDI 2024
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
ICLR 2024
LLM-Assisted Code Cleaning For Training Accurate Code Generators
ICLR 2024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
ICML 2024
SkyPilot: An Intercloud Broker for Sky Computing
NSDI 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
NIPS 2023
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
ICML 2020
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification
ACML 2018