The project uses large language models (LLMs) and information-theory measures to quantify how people think in real conversations. The goal is to create a pipeline that quantifies informational content (the purpose of the utterance is to provide/inquire information) and relational content (the purpose is to build a stronger relational bond with the other speaker) in […]
Read More