Justin Michael Moeljono

MASK-OFF: evaluating LLMs for omission of material fact

Large language models (LLMs) are widely deployed with the ability to influence user decisions, yet on benign requests they often fail to accurately convey material information, which can lead to harm. While existing benchmarks measure aspects of trustworthiness in LLMs (e.g., hallucination or sycophancy), material omis...