Yan Zhang

OCSD reveals how isolating observation effects can lead to more effective token-level updates in reinforcement learning, outperforming traditional methods.

CAM-DF reduces tool acquisition costs by 37% while maintaining task success, challenging the conventional wisdom that more tools always lead to better outcomes.