Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification. - Hilal AlQuabeh; Ameera Bawazeer; Abdulateef Alhashmi (CoRR, 2021)

Pairwise Learning via Stagewise Training in Proximal Setting. - Hilal AlQuabeh; Aliakbar Abdurahimov (CoRR, 2022)

Computational Complexity of Sub-linear Convergent Algorithms. - Hilal AlQuabeh; Farha AlBreiki (CoRR, 2022)

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. - Hilal AlQuabeh; Bhaskar Mukhoty; Bin Gu 001 (ACML, 2023)

Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. - Dilshod Azizov; Jiyong Li; Hilal AlQuabeh; Shangsong Liang (IEEE Big Data, 2023)

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition. - Jiyong Li; Dilshod Azizov; Hilal AlQuabeh; Shangsong Liang (ArabicNLP, 2023)

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. - Hilal AlQuabeh; William de Vazelhes; Bin Gu 001 (AAAI, 2024)

SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. - Dilshod Azizov; Zain Muhammad Mujahid; Hilal AlQuabeh; Preslav Nakov; Shangsong Liang (EMNLP (Findings), 2024)

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks. - Bhaskar Mukhoty; Hilal AlQuabeh; Giulia De Masi; Huan Xiong; Bin Gu 001 (ICLR, 2024)

Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Benjamin Heinzerling; Velibor Bojkovic; Hilal AlQuabeh; Martin Takác 001; Kentaro Inui (ACL (1), 2025)

Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks. - Bhaskar Mukhoty; Hilal AlQuabeh; Bin Gu 001 (ICLR, 2025)

The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. - Ahmed Oumar El-Shangiti; Tatsuya Hiraoka; Hilal AlQuabeh; Benjamin Heinzerling; Kentaro Inui (NAACL (Short Papers), 2025)

Number Representations in LLMs: A Computational Parallel to Human Perception. - H. V. AlquBoj; Hilal AlQuabeh; Velibor Bojkovic; Tatsuya Hiraoka; Ahmed Oumar El-Shangiti; Munachiso Nwadike; Kentaro Inui (CoRR, 2025)

Stagewise Training With Exponentially Growing Training Sets. - Bin Gu 001; Hilal AlQuabeh; William de Vazelhes; Zhouyuan Huo; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Mechanistic Insights into Grokking from the Embedding Layer. - H. V. AlquBoj; Hilal AlQuabeh; Velibor Bojkovic; Munachiso Nwadike; Kentaro Inui (CoRR, 2025)

Emergence of Primacy and Recency Effect in Mamba: A Mechanistic Point of View. - Muhammad Cendekia Airlangga; Hilal AlQuabeh; Munachiso Nwadike; Kentaro Inui (CoRR, 2025)

Uncovering the Spectral Bias in Diagonal State Space Models. - Ruben Solozabal; Velibor Bojkovic; Hilal AlQuabeh; Kentaro Inui; Martin Takác 001 (CoRR, 2025)