An autonomous agentic framework for cross-campaign generalization and sensor shift adaptation
Although autonomous, large language model-driven systems show immense potential for orchestrating complex scientific experiments, their efficacy is constrained by two fundamental bottlenecks: context dilution, where strategic reasoning degrades as experimental history accumulates, and inter-campaign amnesia, which forc...