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cs.CL2026
A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness
Naseem Machlovi, Maryam Saleki, Ruhul Amin +5
As large language models (LLMs) become deeply embedded in daily life, the urgent need for safer moderation systems that distinguish between naive and harmful requests while upholdi…
cs.CL2025★ 1 cited
Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content
Abdullah Mushtaq, Rafay Naeem, Ezieddin Elmahjub +5
Large language models are increasingly used for Islamic guidance, but risk misquoting texts, misapplying jurisprudence, or producing culturally inconsistent responses. We pilot an…