Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous, Michael Joseph Ryan, Alan Ritter, Wei Xu
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
[arXiv]  [Press Article]

Reducing Privacy Risks in Online Self-Disclosures with Language Models
Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
[arXiv]

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
Tarek Naous, Michael Joseph Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu
Preprint
[arXiv] [Dataset/Code]

Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation
Anton Lavrouk, Ian Ligon, Tarek Naous, Jonathan Zheng, Alan Ritter, Wei Xu
Workshop on Noisy User Generated Text (W-NUT),  2024
[ACL Anthology]

Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
Michael Joseph Ryan, Tarek Naous, Wei Xu
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Best  Paper Award Honorable Mention
[ACL Anthology] [arXiv] [Data] [Slides] [Video Summary by Michael]

Stanceosaurus: Classifying Stance Towards Multilingual Misinformation
Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[ACL Anthology] [arXiv]

Clustering  Plotted Data by Image Segmentation
Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou
IEEE/CVF Conference on Computer  Vision and Pattern Recognition (CVPR), 2022
[The CVF] [arXiv]  [IEEE Xplore] [Code]

Open-Domain Response Generation in Low-Resource Settings using Self-Supervised Pre-training of Warm-Started Transformers
Tarek Naous,  Zahraa Bassyouni,  Bassel Mousi, Hazem Hajj, Wassim El Hajj, Khaled Shaban
ACM Transactions on Asian and Low-Resource Language Information Processing, 2022
[ACM Library] [Data]

Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem Hajj
Sixth Arabic Natural Language Processing Workshop (WANLP), 2021
[ACL Anthology] [PDF] [arXiv] [Code & Data]

Empathy-driven Arabic Conversational Chatbot
Tarek Naous, Christian Hokayem, Hazem Hajj
Fifth Arabic Natural Language Processing Workshop (WANLP), 2020
[ACL Anthology] [PDF] [Code & Data]

Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications
Tarek Naous, May Itani, Mariette Awad, Sanaa Sharafeddine
IEEE Access, 2023
[IEEE Xplore] [PDF]

Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas with Specified Sidelobe Levels
Tarek Naous, Amen Al Merie , Salwa K. Al Khatib,  Mohammed Al Husseini,  Raed M. Shubair, Hilal M. El Misilmani
IEEE Access, 2022
[IEEE Xplore] [PDF]

Bridging the integration gap: simultaneous optimization of well placement, well trajectory, and facility layout
Kassem Ghorayeb, Hussein Hayek, Ahmad Harb, Haytham M. Dbouk, Tarek Naous, Anthony Ayoub, Richard Torrens, Owen Wells
Journal of Petroleum Science and Engineering, 2022
[Elsevier]

A Survey on Blockchain-Based Recommender Systems: Integration Architecture and Taxonomy  
Loubna  Mekouar, Youssef Iraqi, Issam Damaj, Tarek Naous
Computer Communications, 2022
[Elsevier]

A Deep Learning Framework for Breast Tumor Detection and Localization from Microwave Imaging Data
Salwa K. Al Khatib, Tarek Naous, Raed M. Shubair, Hilal M. El Misilmani
IEEE International Conference on Electronics, Circuits, and Systems, 2021
[IEEE Xplore] [PDF] [Code & Data]

Radiation Analysis in a Gradual 5G Network Deployment Strategy
Ahmad M. El Hajj, Tarek Naous
IEEE 5G World Forum (5GWF), 2020
[IEEE Xplore] [PDF] [Press Article] [Press Video]

A Review on the Design and Optimization of Antennas Using Machine Learning Algorithms and Techniques
Hilal M. El Misilmani, Tarek Naous, Salwa K. Al Khatib
International Journal of RF and Microwave Computer-Aided Engineering (Wiley), e22356, 2020
[Wiley Online Library] [PDF]

A Survey on Antenna Designs for Breast Cancer Detection Using Microwave Imaging
Hilal M. El Misilmani, Tarek Naous, Salwa K. Al Khatib, and Karim Y. Kabalan
IEEE Access, vol. 8, pp. 102570-102594, 2020
[IEEE Xplore] [PDF]

Machine Learning in Antenna Design: An Overview on Machine Learning Concept and Algorithms
Hilal M. El Misilmani and Tarek Naous
International Conference on High Performance Computing & Simulation (HPCS), 2019
[IEEE Xplore] [PDF]