Advancing Understanding and Interaction in Conversational AI

This talk explores two crucial dimensions of Conversational AI: improved understanding and enhanced interaction. The talk will begin with a focus on refining language comprehension through the mitigation of speech recognition errors, ultimately facilitating a more comprehensive understanding of user inputs. Next, we tackle the challenge of scalability, uncovering strategies to maximize the utility of limited dialogue data, thereby enabling adaptive conversational models. Finally, we explore the realm of enriched interaction by seamlessly integrating recommendation systems into conversational interfaces. In sum, these dimensions collectively showcase the potential for substantial progress in Conversational AI, offering valuable insights for future research and innovation in the field.