Staff profile

PhD candidate researching the intersection of law and natural language processing, with a focus on developing and evaluating AI systems for core legal NLP tasks. This includes Statute Law Retrieval, Legal Case Retrieval, Legal Case Entailment, Legal Textual Entailment, and Legal Judgment Prediction. My work spans legal information retrieval, reasoning, and generation, with an emphasis on domain-specific adaptations and precision in legal understanding. 

Conference Paper

• Durham-Jazan at AISA-ArabicFC: A Field-Wise QLoRA Ensemble and the Sensitivity of Exact-Match Scoring
  
  Alshehri, A. S., Bencomo, N., Babiker, H., & Atapour-Abarghouei, A. (2026, October). Durham-Jazan at AISA-ArabicFC: A Field-Wise QLoRA Ensemble and the Sensitivity of Exact-Match Scoring. Presented at ArabicNLP 2026: The Fourth Arabic Natural Language Processing Conference, Budapest, Hungary. https://doi.org/10.18653/2026.arabicnlp-sharedtasks.200
• Durham-Jazan at Daleel 2026: Domain-Routed Ensembles, LLM Augmentation, and the Limits of Decision-Rule Tuning for Arabic Argument Mining
  
  Alshehri, A. S., Bencomo, N., Babiker, H., & Atapour-Abarghouei, A. (2026). Durham-Jazan at Daleel 2026: Domain-Routed Ensembles, LLM Augmentation, and the Limits of Decision-Rule Tuning for Arabic Argument Mining. In Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks (pp. 1328-1343). Association for Computational Linguistics. https://doi.org/10.18653/2026.arabicnlp-sharedtasks.166

Journal Article

• Neural reranking for UK statutory retrieval: Provision-level evaluation and an open distilled model
  
  Alshehri, A. S., Eken, C., Bencomo, N., & Atapour-Abarghouei, A. (2026). Neural reranking for UK statutory retrieval: Provision-level evaluation and an open distilled model. Artificial Intelligence and Law. Advance online publication. https://doi.org/10.1007/s10506-025-09501-6