Songjun Cao

Expressiveness preservation in speech-to-speech translation remains a significant hurdle, with systems scoring poorly on emotional and nonverbal fidelity despite achieving high translation accuracy.

Fine-grained visual dependencies can drastically improve multimodal reasoning accuracy in mathematical problem-solving, challenging the notion that visual inputs are merely auxiliary.

Audio deepfake detectors trained on diffusion-reconstructed "hard" examples generalize far better to unseen attacks, slashing error rates compared to standard training.