Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation
Human language is driven by unspoken beliefs and belief updates, making these critical to model for successful communication between large language models (LLMs) and their users. In this paper, we evaluate the ability of LLMs to recognize unspoken beliefs made through implicatures and to understand their updates throug...