Author

Demetris Paschalides

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#natural language process... Preprint Oct 2026

To Jev or Not? Evaluating the Accuracy and Efficiency of Structured Decision Models for Hate-Speech Moderation

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 therefore requires efficient classifiers that can accommodate different definitions of hate speech. Recent structured decision models accept...

Demetris Paschalides, G. Pallis, M. Dikaiakos · 0 citations

#artificial intelligence Preprint Sep 2026

MCP-GRANITE Benchmark: GRANularity Interface TEsting for MCP-Based LLM Agents

MCP-GRANITE is presented, an open-source extensible benchmark framework that treats tool-interface granularity as a controlled variable for MCP-based agents, evaluated under edge and IoT scenarios and identifies tool-interface granularity as a key design parameter for MCP-based agents.

Demetris Paschalides, Moysis Symeonides, G. Pallis et al. · 0 citations