dialogueaware
DialoguEaware is a term used in AI and natural language processing to describe systems that are aware of and actively manage the dialogue context across turns. It refers to models and agents that go beyond single-shot generation by maintaining state, history, and user preferences to produce coherent and contextually appropriate responses. The label is encountered in research papers, technical discussions, and some product literature to emphasize context sensitivity.
Core concepts of dialogue awareness include dialogue state tracking, intent recognition, slot filling, and discourse acts.
Implementation approaches vary. Some architectures use explicit state representations that are carried through the conversation, while
Applications and evaluation focus on dialogueaware capabilities in real-world settings. They are used in customer support