collaborators

9 papers

cs.CV2026

Reasoning or Pattern Matching? Probing Large Vision-Language Models with Visual Puzzles

Maria Lymperaiou, Vasileios Karampinis, Giorgos Filandrianos +3

Puzzles have long served as compact and revealing probes of human cognition, isolating abstraction, rule discovery, and systematic reasoning with minimal reliance on prior knowledg…

cs.CE2025

Sparse Computations in Deep Learning Inference

Ioanna Tasou, Panagiotis Mpakos, Angelos Vlachos +25

The computational demands of modern Deep Neural Networks (DNNs) are immense and constantly growing. While training costs usually capture public attention, inference demands are als…

cs.CV2025

V-CECE: Visual Counterfactual Explanations via Conceptual Edits

Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos +3

Recent black-box counterfactual generation frameworks fail to take into account the semantic content of the proposed edits, while relying heavily on training to guide the generatio…

cs.CV2025

Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning

Angelos Vlachos, Giorgos Filandrianos, Maria Lymperaiou +4

We present a Collaborative Agent-Based Framework for Multi-Image Reasoning. Our approach tackles the challenge of interleaved multimodal reasoning across diverse datasets and task…

cs.CV2025

Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification

Nikolaos Chaidos, Angeliki Dimitriou, Nikolaos Spanos +2

Graph Neural Networks (GNNs) have emerged as an efficient alternative to convolutional approaches for vision tasks such as image classification, leveraging patch-based representati…

cs.CL2025

AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering

Andreas Evangelatos, Giorgos Filandrianos, Maria Lymperaiou +2

In this paper, we present our submission to SemEval-2025 Task 8: Question Answering over Tabular Data. This task, evaluated on the DataBench dataset, assesses Large Language Models…