Beilun Wang

Reasoning BO: Enhancing Bayesian Optimization With the Reasoning Power of LLMs

Reasoning BO is introduced, a novel framework leveraging reasoning models to guide BO sampling while incorporating multi‐agent systems and knowledge graphs for online knowledge accumulation, and it is demonstrated that smaller LLMs, after post‐training, can achieve performance comparable to larger counterparts.