D. Frank Hsu

Architecturally diverse quantum-classical models fused via Combinatorial Fusion Analysis consistently outperform individual models and literature baselines, unlocking significant accuracy gains on classification tasks.

LLMs can be better aligned to human values by fusing the outputs of multiple "moral agents" representing diverse ethical perspectives, outperforming single-agent approaches.