Quantifying uncertainty in automatically generated text is important for letting humans check
potential hallucinations and making systems more reliable. Conformal prediction is an …

Large Language Models (LLMs) often struggle when faced with situations where they lack
the prerequisite knowledge to generate a sensical response. In these cases, models tend to …

As large language models (LLMs) are increasingly deployed in user-facing applications,
building trust and maintaining safety by accurately quantifying a model's confidence in its …

Large language models (LLMs) exhibit advanced reasoning skills, enabling robots to
comprehend natural language instructions and strategically plan high-level actions through …