Dialogue Scenario

Dialogue scenario research focuses on creating and improving conversational AI systems, aiming for natural, engaging, and task-achieving interactions. Current efforts concentrate on enhancing large language model (LLM) alignment with human preferences, generating high-quality synthetic dialogue data for training, and developing methods for efficient intent induction and dialogue flow discovery. These advancements are crucial for building more robust and helpful conversational agents across diverse applications, from customer service and medical education to air traffic management and beyond.