When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Petr Sychev, Andrey Goncharov, Daniil Vyazhev +2

Uncertainty estimation is crucial for evaluating Large Language Models (LLMs), particularly in high-stakes domains where incorrect answers result in significant consequences. Numer…