Mei-Ying Li

Exploring Strategies for Conceptual Alignment in LLM-Based Human-Robot Dialogue

Successful conversations require speakers to align on conceptual understanding, a challenging but crucial task in human-robot interaction. With the increasing use of large language models for dialogue, robots move from passively acquiring human conceptualizations to actively shaping alignment. However, the design space...