Abstract: Large language models (LLMs) have emerged as a promising tool for detecting code vulnerabilities, potentially offering advantages over traditional rule-based methods. This paper proposes an ...

Findings highlight the need for digital health literacy efforts that help users evaluate both the capabilities and limitations of emerging tools. Given the rapid evolution of search technologies, ...

Abstract: This paper introduces BioVL-QR, a biochemical vision- and-language dataset comprising 23 egocentric experiment videos, corresponding protocols, and vision-and-language alignments. A major ...