Open Internet by MindsNet

Balancing Model Calibration and Utility in LLM Agents

LLM agents face a tradeoff between calibration and utility. Calibration ensures the model's confidence matches its correctness, but increasing calibration can reduce utility. This challenge is critical in agent systems where incorrect actions can be dangerous.

Computing & Technology, Computer Science, Machine Learning