Conversational Implicature

Conversational implicature research focuses on how humans and machines understand the implied meaning beyond the literal words spoken, a crucial aspect of effective communication. Current research investigates how large language models (LLMs), such as BERT and GPT variants, handle these nuanced inferences, employing various experimental designs and focusing on the role of context and different model architectures in accurately interpreting implicatures. These studies are significant because improved understanding of implicature processing in LLMs is essential for developing more natural and human-like conversational AI systems, impacting fields ranging from chatbot development to natural language understanding.