Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning Hang Zhou 1,2, Yehui Tang

Unfortunately, collecting high-quality and diverse data is both expensive and time-consuming. To mitigate this issue, we propose a novel Star-Agents framework, which automates the enhancement of data quality across datasets through multi-agent collaboration and assessment. The framework adopts a three-pronged strategy.