This work proposes a two stage detection framework that first identifies suspicious conversations using a tailored ensemble classification model and compares its modular approach against a Dual LLM baseline that performs detection and judgment using different language models.
Ali Şenol, Garima Agrawal, Huanmin Liu· arXiv.org· 4 citations
Gamification is especially effective in learning domains requiring active problem-solving and iterative skill-building, such as cybersecurity education. Generative AI agents offer a path to delivering such experiences adaptively at scale, but introduce well-documented risks in educational settings: inconsistent behavio...
Ivan Hornung, D. Arachchige, Tharindu Kumarage et al.· 0 citations
RQEval is proposed, a unified multi-dimensional framework for measuring LLM reasoning quality from a behavioral perspective that operationalizes six theoretically grounded dimensions rooted in cognitive science and introduces deployment-aware aggregation, enabling context-specific model selection beyond accuracy-based...
Ali Şenol, Garima Agrawal, Huan Liu· Big Data and Cognitive Compu...· 2 citations
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