1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh +2
Large language models (LLMs) have emerged as an integral part of modern societies, powering user-facing applications such as personal assistants and enterprise applications like re…
Evaluating Large Language Models for Health-related Queries with Presuppositions
Navreet Kaur, Monojit Choudhury, Danish Pruthi
As corporations rush to integrate large language models (LLMs) to their search offerings, it is critical that they provide factually accurate information that is robust to any pres…