Mu Zhou

Pruning irrelevant visual tokens can boost medical reasoning performance by over 100%, transforming how VLMs approach sparse medical images.

Automated evaluation-driven skill evolution could redefine how we build and assess agentic systems, making them more reliable and efficient.