TCE at IslamicEval 2025: Retrieval-Augmented LLMs for Quranic and Hadith Content Identification and Verification
Published in ArabicNLP2025 (EMNLP2025), IslamicEval 2025, 2025
Presented at ArabicNLP2025 conference, co-held with EMNLP2025. This work proposes a framework to detect and cross-check religious content in generated Arabic text, achieving 86.11% accuracy for segment detection and 89.82% accuracy in content verification from authoritative sources.
Recommended citation:
Download Paper



