most citedUsing Language Models to Detect Alarming Student Responses

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2025

AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering

Onat Gungor, Roshan Sood, Harold Wang +1

Large Language Models (LLMs) have recently demonstrated strong potential for cybersecurity question answering (QA), supporting decision-making in real-time threat detection and res…

cs.CL2023★ 2 cited

Using Language Models to Detect Alarming Student Responses

Christopher M. Ormerod, Milan Patel, Harry Wang

This article details the advances made to a system that uses artificial intelligence to identify alarming student responses. This system is built into our assessment platform to as…