26 citations · 35 across the 9 of their papers we have counts for
12 papers
To Jev or Not? Evaluating the Accuracy and Efficiency of Structured Decision Models for Hate-Speech Moderation
Demetris Paschalides, George Pallis, Marios D. Dikaiakos
The scale of online content makes hate-speech moderation challenging, while Large Language Models (LLMs) enable harmful material to be produced and adapted more easily. Moderation…
AgentWare: Automating the Lifecycle of Agentic Applications across the Edge-to-Cloud Continuum
Michalis Kasioulis, Moysis Symeonides, George Pallis +1
Deploying LLM-enabled agentic applications across the Edge-to-Cloud continuum remains challenging due to hardware heterogeneity, deployment complexity, limited observability, and t…
MCP-GRANITE Benchmark: GRANularity Interface TEsting for MCP-Based LLM Agents
Demetris Paschalides, Moysis Symeonides, George Pallis +1
As LLM agents increasingly interact with external tools through standardized protocols such as MCP, tool-interface design becomes a critical yet underexplored factor. How funψtiona…
A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware
Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2
Large language models (LLMs) are increasingly used as backends for intelligent web services, but serving them across the edge continuum requires balancing quality, latency, model f…
InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
Nicoletta Tsiopani, Moysis Symeonides, George Pallis +1
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastructure decisions shape energy use, carbon emission…
Confidence Without Competence in AI-Assisted Knowledge Work
Elena Eleftheriou, George Pallis, Marios Constantinides
Large Language Models (LLMs) are widely used by students, yet their tendency to provide fast and complete answers may discourage reflection and foster overconfidence. We examined h…
Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes
Joanna Georgiou, Moysis Symeonides, George Pallis +1
Edge Computing emerges as a promising alternative of Cloud Computing, with scalable compute resources and services deployed in the path between IoT devices and Cloud. Since virtual…
Probing the Subtle Ideological Manipulation of Large Language Models
Demetris Paschalides, George Pallis, Marios D. Dikaiakos
Large Language Models (LLMs) have transformed natural language processing, but concerns have emerged about their susceptibility to ideological manipulation, particularly in politic…
Large Language Models For Text Classification: Case Study And Comprehensive Review
Arina Kostina, Marios D. Dikaiakos, Dimosthenis Stefanidis +1
Unlocking the potential of Large Language Models (LLMs) in data classification represents a promising frontier in natural language processing. In this work, we evaluate the perform…
A Self-stabilizing Control Plane for the Edge and Fog Ecosystems
Zacharias Georgiou, Chryssis Georgiou, George Pallis +2
Fog Computing is now emerging as the dominating paradigm bridging the compute and connectivity gap between sensing devices (a.k.a. "things") and latency-sensitive services. However…
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou +4
Over the past few years, we have been witnessing the rise of misinformation on the Web. People fall victims of fake news during their daily lives and assist their further propagati…
The Dynamics of Vehicular Networks in Urban Environments
Nicholas Loulloudes, George Pallis, Marios D. Dikaiakos
Vehicular Ad hoc NETworks (VANETs) have emerged as a platform to support intelligent inter-vehicle communication and improve traffic safety and performance. The road-constrained, h…