A Survey on Recent Advances in Conversational Data Generation 事件

A Survey on Recent Advances in Conversational Data Generation arXiv:2405.13003v2 Announce Type: replace Abstract: Recent advancements in conversational systems have significantly enhanced human-machine interactions across various domains. However, training these systems is challenging due to the scarcity of specialized dialogue data. Traditionally, conversational datasets were created through crowdsourcing, but this method has proven costly, limited in scale, and labor-intensive. As a solution,