PhD student, Stanford University
1 paper at NeurIPS 2025
We introduce Weaver, a framework that combines multiple weak verifiers to effectively select responses in repeated sampling, achieving frontier model accuracy without supervised fine-tuning, while reducing verification costs by 99.97%.
