26 citations · 35 across the 9 of their papers we have counts for
6 papers · 1 filter
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…