PhD student, Stanford University
3 papers at NeurIPS 2025
We introduce SiriuS, a self-improving framework for multi-agent systems that builds and refines an experience library, enhancing the system's ability to tackle complex reasoning problems with minimal supervision.
We propose a general approach that unlocks the transferability of geometric diffusion models.