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Large Language Models (LLMs) are increasingly used as conversational search engines for academic literature, yet whether they judge …

Prior research has demonstrated that the choice of prompt template during Supervised Fine-Tuning (SFT) significantly impacts the …

Pretrained large language models (LLMs) have demonstrated significant potential for cybersecurity analytics; however, evolving threat …

Advances in Large Language Models (LLMs) have enabled new opportunities to automate media analysis and improve collaborative social …

Protected Health Information (PHI, e.g., electronic health records, insurance information) is increasingly stolen in data breaches by …

This TREO talk explores provocative questions about the role of multi-agent AI systems in information systems scholarship. We examine …

Email is a ubiquitous communication tool. This ubiquity has made emails a frequent target of phishing attacks. Organizations often use …

The growing reliance on Infrastructure as Code (IaC) has streamlined cloud provisioning but introduced new security challenges due to …

Multi-agent AI systems offer promising capabilities for enhancing information systems research. This paper presents a framework for …

As machine learning (ML)-based detectors become increasingly prevalent in identifying phishing websites, attackers are also exploiting …