George Katsogiannis-Meimarakis

According to our database, George Katsogiannis-Meimarakis authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

In-depth Analysis of LLM-based Schema Linking.

George Katsogiannis-Meimarakis, Katsiaryna Mirylenka, Paolo Scotton, Francesco Fusco, Abdel Labbi

Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

2025

DataDazzle: Intelligent Data Exploration through Natural Language.

Mike Xydas, Anna Mitsopoulou, George Katsogiannis-Meimarakis, Christos Tsapelas, Stavroula Eleftherakis, Antonis Mandamadiotis, Georgia Koutrika

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2023

ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems.

Yi Zhang, Jan Deriu, George Katsogiannis-Meimarakis, Catherine Kosten, Georgia Koutrika, Kurt Stockinger

Proc. VLDB Endow., December, 2023

A survey on deep learning approaches for text-to-SQL.

George Katsogiannis-Meimarakis, Georgia Koutrika

VLDB J., July, 2023

Natural Language Interfaces for Databases with Deep Learning.

George Katsogiannis-Meimarakis, Mike Xydas, Georgia Koutrika

Proc. VLDB Endow., 2023

Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface.

George Katsogiannis-Meimarakis, Mike Xydas, Georgia Koutrika

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Natural Language Data Interfaces: From Keyword Search to ChatGPT, are we there yet?

George Katsogiannis-Meimarakis, Christos Tsapelas, Georgia Koutrika

Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems.

George Katsogiannis-Meimarakis, Georgia Koutrika

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Deep Learning Approaches for Text-to-SQL Systems.

George Katsogiannis-Meimarakis, Georgia Koutrika

Proceedings of the 24th International Conference on Extending Database Technology, 2021