3 papers
cs.CL2026
A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset
Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos +3
We present CUP, a Greek book retrieval benchmark consisting of 868 catalog records and 104 expert-annotated queries with graded relevance judgments. We evaluate sparse (BM25), dens…
cs.LG2026
A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks
Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1
In this study, we propose a novel pipeline for generic, model-agnostic, local-level counterfactual explainability in graph neural networks (GNNs). Although counterfactual explainer…
cs.CV2025
Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs
Filipos Gouidis, Konstantinos Papoutsakis, Theodore Patkos +2
We investigate the problem of Object State Classification (OSC) as a zero-shot learning problem. Specifically, we propose the first Object-agnostic State Classification (OaSC) meth…