PhD student, Stanford University
2 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 an approach to flexibly optimize LLM optimizers.