3 papers
cs.SE2026
A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs
Adeyemi Adeseye, Aisvarya Adeseye
Loop vulnerabilities are one major risky construct in software development. They can easily lead to infinite loops or executions, exhaust resources, or introduce logical errors tha…
cs.AI2026
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…
cs.HC2026
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…