Toward Exploring Mixed-Initiative Conversation Generation Based on Community Question Answering
A large language model (LLM)-based three-stage framework that relies on an existing community question answering dataset is proposed, showing that the three-stage generation approach consistently outperforms the baseline particularly in recall, while also achieving competitive results across other metrics.