This project is released under Apache-2.0 License. If your method is based on Dinomaly, please acknowledge it in your work (papers, products, patents, competitions, etc.), preferably as a "Preliminary ...

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 ...

Abstract: Dress code violations in educational institutions present ongoing challenges for administrators striving to maintain a balance between enforcing standards and fostering a sense of ...

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...