EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems

Understand

Large language models have improved dialogue systems, but often process conversational turns in isolation, overlooking the event structures that guide natural interactions.

• Hence we introduce EventWeave, a framework that explicitly models relationships between conversational events to generate more contextually appropriate dialogue responses.
• EventWeave constructs a dynamic event graph that distinguishes between core events (main goals) and supporting events (interconnected details), employing a multi-head attention mechanism to selectively determine which events are most relevant to the current turn.
• Unlike summarization or standard graph-based approaches, our method captures three distinct relationship types between events, allowing for more nuanced context modeling.