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 ...

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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 ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

To move its own pieces, a motorized mechanism beneath the board guides an electromagnet along the underside. When activated, ...

LEICESTER, Mass. — Every day, roughly 20,000 drivers pass by a monument on Route 9 in Leicester. Perhaps only a handful, though, can tell you why it’s there. “It’s the Knox Trail where Henry Knox went ...

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) ...

For mid-market organizations, cybersecurity is a constant balancing act. Proactive, preventative security measures are essential to protect an expanding attack surface. Combined with effective ...