Kailey Simons

Mitigating Hallucinations in Finance-Based Multi-Agent Large Language Model Systems

Large language models are increasingly used for financial question answering, while they are prone to generating hallucinated content. In this research, we propose a multi-signal framework for hallucination detection and mitigation. Our framework combines six signals (entailment, semantic similarity, claim verification...