Wei-Lin Chiang

Anastasios N. Angelopoulos, a UC Berkeley professor and AI researcher, along with LMArena cofounders Wei-Lin Chiang and Ion Stoica, delve into innovative AI evaluation methods. They discuss transitioning from static benchmarks to dynamic user feedback for better model reliability. Fresh data and community engagement are emphasized as essential for AI development. The conversation highlights personalized leaderboards, real-time testing challenges, and the importance of scaling their platform to meet diverse user needs and preferences, all while fostering an inclusive approach to AI.

Anastasios Angelopoulos and Wei-Lin Chiang, both PhD students at UC Berkeley, lead the Chatbot Arena—a pioneering platform for AI evaluation. They discuss the evolution of crowdsourced benchmarking and the philosophical challenges of measuring AI intelligence. Emphasizing the limitations of static benchmarks, they advocate for user-driven assessments. The duo also tackles human biases in evaluations and the significance of community engagement, showcasing innovative strategies in AI red teaming and collaboration, all aimed at refining how language models are compared.