FinSafeGuard: A Quality-Driven Synthetic Dataset for Financial AI Safety.
arXiv:2610.26066v1 Announce Type: new Abstract: Generating high-quality synthetic datasets at scale remains a fundamental challenge for training specialized AI systems in data-scarce domains. We present a comprehensive methodology that produces 14.3 million qu
arXiv cs.AIResearch source·