Weiran Wang

Multimodal models no longer need to rely on entangled black-box fusion: invertible flows and low-rank latent priors can explicitly isolate shared task signals from emergent cross-modal synergy.

Manual tuning of DRO uncertainty sets can be completely automated without statistical penalty, matching exhaustive grid-search sample complexity via nested minimax optimization.

ArguLens achieves 82.6% accuracy in essay classification while providing interpretable feedback, challenging the status quo of opaque scoring systems.