Hilal AlQuabeh
Assistant Teaching Professor of Natural Language Processing and Research Scientist
Research Interests
Professor Alquabeh's research spans AI interpretability, state-space architectures, spiking neural networks, and optimization for sequence modeling, with applications in NLP, and vision. Email
Prior to joining MBZUAI, Professor Alquabeh served as a Lecturer in Institute of Applied Technology and was a visiting Scientist in RIKEN-Japan.
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Postdoctoral Fellow, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE
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Ph.D. in Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE
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M.Sc. in Mechanical Engineering, Khalifa University of Science and Technology, UAE
- Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks in ICLR 2025.
- RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles in ACL 2025.
- The geometry of numerical reasoning: Language models compare numeric properties in linear subspaces in NACCL 2025.