activity
20192026
most citedNatural Language Interfaces to Data

37 citations · 132 across the 18 of their papers we have counts for

collaborators

18 papers

cs.AI2026

HANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems

Christos Sardianos, Iliana Pla, Vasilis Efthymiou +4

Autonomous multi-agent systems nowadays act in finance, software supply chains, and security operations. Already, the first largely AI-orchestrated intrusion campaigns have been re…

cs.DB2026

Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation

Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa +1

Retrieval-Augmented Generation (RAG) improves reliability of large language models by incorporating external knowledge, but the retrieval process can introduce bias that propagates…

cs.CV2026

A High-Level Survey of Optical Remote Sensing

Panagiotis Koletsis, Vasilis Efthymiou, Maria Vakalopoulou +3

In recent years, significant advances in computer vision have also propelled progress in remote sensing. Concurrently, the use of drones has expanded, with many organizations incor…

cs.DB2025

PG-HIVE: Hybrid Incremental Schema Discovery for Property Graphs

Sofia Sideri, Georgia Troullinou, Elisjana Ymeralli +3

Property graphs have rapidly become the de facto standard for representing and managing complex, interconnected data, powering applications across domains from knowledge graphs to…

cs.CL2025

Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models

Panagiotis Koletsis, Christos Panagiotopoulos, Georgios Th. Papadopoulos +1

Over the past few years, table interpretation tasks have made significant progress due to their importance and the introduction of new technologies and benchmarks in the field. Thi…

cs.AI2025★ 1 cited

Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

Spyridon Evangelatos, Eleni Veroni, Vasilis Efthymiou +3

Counterfactual explanations have emerged as a prominent method in Explainable Artificial Intelligence (XAI), providing intuitive and actionable insights into Machine Learning model…