GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling 事件

GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling arXiv:2605.28835v1 Announce Type: new Abstract: Large Language Models (LLMs) extend their capabilities through function-calling (FC), which relies on training data with high quality, diversity, and broad coverage of scenario. However, obtaining and annotating real function-calling data is challenging, while synthetic data from existing pipelines often suffers from unreliable APIs, limited tool scalability,