In “Context-Aware Extraction of Quranic References: A Hybrid Language Model- and Rule-Based Approach” (Muslims in Machine Learning Workshop), Alireza Sahebi (Sharif University of Technology) and others observe that “large language models (LLMs) often generate hallucinated or inaccurate Quranic content, highlighting the importance of tools capable of verifying and correcting such outputs.” They present “a multi-layered… CONTINUE READING
In “A Rule-Based System for Identifying Islamic Citation in LLM Outputs” (IslamicEval 2025), Fatimah Emad Eldin (Cairo University) “presents the Isnad AI system…which focuses on identifying character-level spans of Quranic verses (Ayahs) and Prophetic sayings (Hadiths) within Large Language Model (LLM) outputs….The primary contribution is a novel rule-based data preprocessing and augmentation pipeline, through which… CONTINUE READING
In “LLM Agent-Based Modeling for Zakat Policy: Simulation in Islamic Finance” (Muslims in Machine Learning Workshop), Zaur Omarov (Lomonosov Moscow State University) and others introduce “a novel approach to simulating Zakat policy by leveraging Large Language Model (LLM) enhanced Agent-Based Modeling (ABM)…and propose a multi-agent system where LLM-powered agents represent diverse economic actors within an… CONTINUE READING
In “QURAN-MD: A Fine-Grained Multilingual Multimodal Dataset of the Quran” (Muslims in Machine Learning Workshop), Muhammad Umar Salman (Mohamed bin Zayed University of Artificial Intelligence) and others “present QURAN-MD, a comprehensive multimodal dataset of the Quran that integrates textual, linguistic, and audio dimensions at the verse and word levels.For each verse (ayah), the dataset provides… CONTINUE READING
In “Linear to Table, Table to Linear” (KITAB Project Blog), Lorenz Nigst (Aga Khan University) uses the KITAB Project’s diff viewer to examine text reuse across two manuscripts “containing a short narrative involving Muḥammad Khawārazmshāh…[on] dream interpretation.” In “Lemmatization as a Classification Task: Results from Arabic across Multiple Genres” (arXiv), Mostafa Saeed (New York University… CONTINUE READING
In “HalalLLM vs. KosherLLM: When Abrahamic Scholars Confront Modern Questions through AI” (SSRN), Cantay Caliskan (University of Rochester) and others ask “What if you could ask a 12th-century philosopher about modern society? This study explores that possibility by resurrecting twelve of the most influential scholars in Judaism, Christianity, and Islam through the architecture of large… CONTINUE READING
In “Artificial Intelligence and the Creation of Fake Hadith Texts: Challenges for Islamic Scholarship” (International Journal of Islamic Theology and Civilisation), Ramlan Mustapha and Siti Norma Aisyah Malkan (Universiti Teknologi MARA Pahang) examine “the historical problem of fabricated hadiths, the technical capabilities of AI in generating convincing religious texts, and the multifaceted challenges facing contemporary… CONTINUE READING
In “Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content” (Conference on Neural Information Processing Systems), Abdullah Mushtaq (Information Technology University) and others—including former PIL Fellow Ezieddin Elmahjub (Qatar University)—observe that “large language models are increasingly used for Islamic guidance, but risk misquoting texts, misapplying jurisprudence, or producing culturally inconsistent responses.” They “pilot… CONTINUE READING
In “On Combining Embeddings, Ontology and LLM to Retrieve Semantically Similar Quranic Verses and Generate Their Explanations” (Explainable Artificial Intelligence), Sumaira Saeed (Institute of Business Administration Artificial Intelligence Lab, Pakistan) and others present “a hybrid approach that not only retrieves semantically similar English translations of Quranic verse(s) against a query verse but also explains its… CONTINUE READING
In “From Principles To Practice: A Ḥanafī Framework for Ethical and Adaptive Artificial Intelligence” (master’s thesis), Mahwish Zafar (University of British Columbia) examines “how Ḥanafī legal methodology can inspire more robust and ethically grounded artificial intelligence systems. Using hermeneutic textual analysis informed by Gadamer’s fusion of horizons and Latour’s Actor-Network Theory, this study analyzes classical… CONTINUE READING
