- 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 tool for extracting Quranic expressions from arbitrary input text. A central challenge in this task lies in distinguishing between intentional references and incidental lexical overlap with Quranic text. The proposed tool combines an Arabic language model with rule-based techniques to achieve high precision and contextual understanding. The language model identifies expressions likely intended as Quranic references, effectively filtering out irrelevant matches.”