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 ...
An open source project called Scrapling is gaining traction with AI agent users who want their bots to scrape sites without ...
Abstract: The issue of code plagiarism represents a significant challenge in the academic environment. This study examines the potential of large language models (LLMs) in improving the detection 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 ...
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