5 papers
Reasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis
Jiling Zhou, Aisvarya Adeseye, Antti Hakkala +2
Large Language Models (LLMs) are increasingly used in cybersecurity, where accurate analysis often requires multi-step and context-dependent reasoning over complex and heterogeneou…
Dynamic Agentic AI Expert Profiler System Architecture for Multidomain Intelligence Modeling
Aisvarya Adeseye, Jouni Isoaho, Seppo Virtanen +1
In today's artificial intelligence driven world, modern systems communicate with people from diverse backgrounds and skill levels. For human-machine interaction to be meaningful, s…
Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework
Jiling Zhou, Aisvarya Adeseye, Seppo Virtanen +2
Chain-of-Thought (CoT) prompting has been used to enhance the reasoning capability of LLMs. However, its reliability in security-sensitive analytical tasks remains insufficiently e…
Local Language Models for Context-Aware Adaptive Anonymization of Sensitive Text
Aisvarya Adeseye, Jouni Isoaho, Seppo Virtanen +1
Qualitative research often contains personal, contextual, and organizational details that pose privacy risks if not handled appropriately. Manual anonymization is time-consuming, i…
Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling
Aisvarya Adeseye, Jouni Isoaho, Seppo Virtanen +1
Automated interviewers and chatbots are common in research, recruitment, customer service, and education. Many existing systems use fixed question lists, strict rules, and limited…