5 papers
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…