DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning

Understand

Building a universal conversational agent has been a long-standing goal of the dialogue research community.

• Most previous works only focus on a small set of dialogue tasks.
• In this work, we aim to build a unified dialogue foundation model (DFM) which can be used to solve massive diverse dialogue tasks.
• To achieve this goal, a large-scale well-annotated dialogue dataset with rich task diversity (DialogZoo) is collected.