Open-Ended Question Answering

Open-ended question answering (Open-Ended QA) is an important task in natural language processing, aiming to provide comprehensive and accurate answers to questions without a predefined answer format. The core objective of this task is to understand the semantics of the question and generate natural language responses that are logically consistent with the context, thereby fulfilling the user's information needs. Open-ended QA has significant application value in areas such as dialogue systems, intelligent assistants, and knowledge retrieval, enhancing the naturalness and effectiveness of human-computer interaction.