2 citations · 2 across the 9 of their papers we have counts for
9 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…
Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
Aisvarya Adeseye, Jouni Isoaho, Adeyemi Adeseye
Large language models (LLMs) have been increasingly used to analyze text. However, they are often plagued with contextual reasoning limitations when analyzing long documents. When…
Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification
Aisvarya Adeseye, Jouni Isoaho, Adeyemi Adeseye
Quantized Large Language Models (LLMs) are used more often in qualitative analysis because they run fast and need fewer computing resources. This study examines how different lower…
Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark
Adeyemi Adeseye, Aisvarya Adeseye, Hannu Tenhunen +1
Small language models (SLMs) have been increasingly deployed in edge devices and other resource-constrained settings. However, these models make confident mispredictions and produc…