5 papers
CyberAGENTS: Structured Autonomy for Agentic Gamified Learning in Cybersecurity
Ivan Hornung, Deepthi Marasinghe Arachchige, Tharindu Kumarage +4
Gamification is especially effective in learning domains requiring active problem-solving and iterative skill-building, such as cybersecurity education. Generative AI agents offer…
EssayCBM: Rubric-Aligned Concept Bottleneck Models for Transparent Essay Grading
Kumar Satvik Chaudhary, Chengshuai Zhao, Fan Zhang +3
Automated essay scoring (AES) has advanced significantly with neural language models, yet most systems remain opaque, offering little visibility into how grades are produced. In ed…
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation
Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage +7
Advancements in large language models (LLMs) have enabled the development of intelligent educational tools that support inquiry-based learning across technical domains. In cybersec…
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
Ali Senol, Garima Agrawal, Huan Liu
Detecting fake interactions in digital communication platforms remains a challenging and insufficiently addressed problem. These interactions may appear as harmless spam or escalat…
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi +1
Large Language Models (LLMs) are proficient at generating coherent and contextually relevant text but face challenges when addressing knowledge-intensive queries in domain-specific…