Uncertainty Quantification for LLM Function-Calling

Apple ML Research · 1 day ago

Researchers addressed uncertainty quantification for LLM function-calling, which enables large language models to use external tools autonomously. The study focuses on measuring model confidence before executing function calls that could have irreversible consequences like financial transfers or data deletion. Better uncertainty estimates allow systems to defer high-risk decisions to human operators or alternative fallback mechanisms.