What are Foundation Models Cooking in the Post-Soviet World? Anton Lavrouk,Tarek Naous, Alan Ritter, Wei Xu
arXiv preprint 2025 [arXiv]
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena Tarek Naous and Wei Xu
NAACL 2025 [arXiv]
Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI Isadora Krsek, Anubha Kabra, Yao Dou, Tarek Naous, Laura A Dabbish, Alan Ritter, Wei Xu, Sauvik Das
CSCW 2025 [arXiv]
Reducing Privacy Risks in Online Self-Disclosures with Language Models Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
ACL 2024 [Paper]
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment Tarek Naous, Michael Joseph Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu
EMNLP 2024 [Paper] [Slides]
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation Anton Lavrouk, Ian Ligon, Tarek Naous, Jonathan Zheng, Alan Ritter, Wei Xu
W-NUT 2024 [Paper]
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter
EMNLP 2022 [Paper]
Clustering Plotted Data by Image Segmentation Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou
CVPR 2022 [Paper]
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 TALLIP 2022 [Paper]
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem Hajj
WANLP 2021 [Paper]
Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications Tarek Naous, May Itani, Mariette Awad, Sanaa Sharafeddine
IEEE Access, Jan. 2023 [Paper]
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, Mar. 2022 [Paper]
A Survey on Blockchain-Based Recommender Systems: Integration Architecture and Taxonomy Loubna Mekouar, Youssef Iraqi, Issam Damaj, Tarek Naous Computer Communications, Apr. 2022 [Paper]
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 [Paper]
Radiation Analysis in a Gradual 5G Network Deployment Strategy Ahmad M. El Hajj, Tarek Naous IEEE 5G World Forum (5GWF), 2020 [Paper] [Press Article]
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, Jul. 2020 [Paper]
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, Jun. 2020 [Paper]
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, 2019 [Paper]