Abstract: Innovations in intelligent transport management systems have enhanced vehicle anomaly detection through traffic monitoring sensors and computer vision. Current approaches, however, lack ...

Abstract: Urban traffic congestion continues to pose serious challenges for cities worldwide, contributing to longer travel times, increased fuel consumption, higher greenhouse gas emissions, and ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...