Filippos Bellos

The largest surgical video-language dataset to date not only enhances surgical video understanding but also sets new benchmarks for AI-driven surgical reasoning.

LLMs can now forecast time series with state-of-the-art accuracy by explicitly disentangling temporal information and conditioning the model at multiple depths, all while keeping the parameter budget low.