Lixin Zhang

Even top-performing voice MLLMs break down when forced to talk science, routinely failing to verbalize symbolic notation, decode technical jargon, and adapt across progressive multi-turn interactions.

Even top-performing multimodal judges fail to reliably detect errors in specific modalities, revealing hidden blind spots in their evaluations.

Repurposing routine knee X-rays for AI-powered bone-loss screening could dramatically expand access to early osteoporosis detection.