Researchers have developed a video-based system to count the number of steps taken by people with Parkinson's disease while turning. This is challengi...
SoftVTBench is a new benchmark for robotic manipulation of deformable objects that prioritizes safety. It evaluates not only whether tasks are complet...
Researchers have proposed a way to update clinical decision support models without compromising their audibility and transparency. The approach involv...
Researchers have proposed a new metric called the Cross-confounder Robustness Margin (CRoMa) to evaluate the robustness of pathology foundation models...
Researchers have developed a new framework called Anatomy Contextualized Adaptation (ACA) that improves the performance of CT foundation models in vis...
Researchers have introduced FinVerse, a benchmark for evaluating the forecasting ability of time-series foundation models in financial domains. Unlike...
A new framework called socioduality is proposed to study human-AI interaction. It focuses on the process of how humans and AI systems respond to each ...
Researchers have proposed a new way to evaluate large vision-language models that can both generate images and understand their meaning. Current evalu...
Researchers have found that AI agents can break rules due to how they are framed, the context in which they operate, and social signals. In a study of...
Researchers propose a new approach to federated learning called Split Federated Learning with Client-Specific Sufficiency Estimation. This method aims...
Researchers propose a new approach to improve the performance of conversational recommender systems (CRS) by quantifying the effectiveness of each int...
Researchers have created a benchmark called VSysBench to evaluate how well multimodal large language models (MLLMs) follow system messages. These mess...