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  1. Flipping the Dialogue: Training and Evaluating User Language Models
    Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
    ICLR 2026
    paper

  2. Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages
    Tarek Naous, Anagha Savit, Carlos Rafael Catalan, Geyang Guo, Jaehyeok Lee, Kyungdon Lee, Lheane Marie Dizon, Mengyu Ye, Neel Kothari, Sahajpreet Singh, Sarah Masud, Tanish Patwa, Trung Thanh Tran, Zohaib Khan, Alan Ritter, JinYeong Bak, Keisuke Sakaguchi, Tanmoy Chakraborty, Yuki Arase, Wei Xu
    arXiv 2025
    paper

  3. CARE: Multilingual Human Preference Learning for Cultural Awareness
    Geyang Guo,Tarek Naous, Hiromi Wakaki, Yukiko Nishimura, Yuki Mitsufuji, Alan Ritter, Wei Xu
    EMNLP 2025
    paper

  4. What are Foundation Models Cooking in the Post-Soviet World?
    Anton Lavrouk,Tarek Naous, Alan Ritter, Wei Xu
    EMNLP 2025
    paper

  5. On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena
    Tarek Naous and Wei Xu
    NAACL 2025
    paper Slides

  6. 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
    paper

  7. Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
    Tarek Naous, Michael Joseph Ryan, Alan Ritter, Wei Xu
    ACL 2024
    paper slides press
    Best Social Impact Award

  8. 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

  9. 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

  10. 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

  11. Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
    Michael Joseph Ryan, Tarek Naous, Wei Xu
    ACL 2023
    paper
    Best Paper Award Honorable Mention

  12. Stanceosaurus: Classifying Stance Towards Multilingual Misinformation
    Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter
    EMNLP 2022
    paper

  13. Clustering Plotted Data by Image Segmentation
    Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou
    CVPR 2022
    paper

  14. 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

  15. Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
    Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem Hajj
    WANLP 2021
    paper

  16. Empathy-driven Arabic Conversational Chatbot
    Tarek Naous, Christian Hokayem, Hazem Hajj
    WANLP 2020
    paper

Past Research on Wireless Communications
  • 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

  • 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

Other Publications and Patents
  • Modular Hydrocarbon Facility Placement Planning System With Machine Learning Well Trajectory Optimization
    Kassem Ghorayeb, Hussein Hayek, Ahmad Harb, Tarek Naous
    US Patent US20240346608A1, Oct. 2024
    patent

  • 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, Jan. 2023
    paper