Raed Mughus

A red teaming framework for large language models: a case study on faithfulness evaluation

A red teaming framework that systematically uncovers vulnerabilities in LLM outputs and provides both actionable insights into current LLM vulnerabilities and a scalable methodology for ongoing safety evaluation as models continue to evolve is presented.