Uncertainty Quantification for LLM Function-Calling

Jul 15, 2026

Apple researchers propose methods for quantifying uncertainty in large language model (LLM) function-calling, aiming to assess model confidence before executing potentially irreversible actions such as money transfers or data deletion. Their work addresses the risks associated with incorrect function calls in autonomous task-solving by LLMs.

Why it matters: This research addresses a critical safety concern in deploying LLMs for autonomous tool use, where incorrect function calls can have significant real-world consequences.

Full story at: Apple Machine Learning Research ↗