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cs.CL2025
Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
Farah Atif, Nursultan Askarbekuly, Kareem Darwish +1
Despite the increasing usage of Large Language Models (LLMs) in answering questions in a variety of domains, their reliability and accuracy remain unexamined for a plethora of doma…
cs.CL2025
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models
Hanin Atwany, Abdul Waheed, Rita Singh +2
Speech foundation models trained at a massive scale, both in terms of model and data size, result in robust systems capable of performing multiple speech tasks, including automatic…