Dialog History

Dialog history, the record of previous turns in a conversation, is crucial for building effective conversational agents. Current research focuses on efficiently incorporating this history into models, exploring techniques like hierarchical architectures and compact representations to reduce computational costs and improve performance in various tasks, including visual dialog, task-oriented dialog, and spoken language understanding. These advancements aim to create more natural and contextually aware conversational systems, impacting fields ranging from virtual assistants to human-robot interaction. The emphasis is on developing models that can effectively leverage dialog history while maintaining efficiency and robustness.