IEEE

VisionHub: Learning Task-Plugins for Efficient Universal Vision Model

Abstract: Building on the success of universal language models in natural language processing (NLP), researchers have recently sought to develop methods capable of tackling a broad spectrum of visual ...
The Lancet

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

aThe Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA bThe Hasso Plattner Institute for Digital Health at Mount Sinai, Mount Sinai Health ...
GitHub

egoPPG: Heart Rate Estimation from Eye Tracking Cameras in Egocentric Systems to Benefit Downstream Vision Tasks (ICCV 2025)

egoPPG is a novel vision task for egocentric systems to recover a person’s cardiac activity to aid downstream vision tasks. Our method, PulseFormer continuously estimates the person’s ...
IEEE

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks

Abstract: Pre-trained code models are essential for various code intelligence tasks. Yet, their effectiveness is heavily influenced by the quality of the pre-training dataset, particularly ...