Researchers have developed HYDRA, a framework that explores the design space of hybrid large language models (LLMs) on heterogeneous chiplet systems. ...
Researchers have proposed an improved method called HiRA-CAM for creating visual explanations of how convolutional neural networks (CNNs) make decisio...
Researchers have developed SCAPE, a framework for evaluating robot-learning policies in real-world conditions. It uses limited paired simulation and r...
Researchers have developed a new AI framework called Disease Continuum Positioning (DCP) that continuously estimates disease severity from longitudina...
Researchers analyzed three years of Large Language Model (LLM) performance on open-ended tasks. They found a statistically significant decrease in mod...
Researchers have developed a new framework for evaluating the quality of specifications in artificial intelligence. The model represents a specificati...
Researchers have developed a method using agentic AI to speed up simulations in project scheduling. They used the Claude AI system to identify and opt...
Researchers propose a new framework for lifelong learning in neural models, inspired by how animals learn and remember. They suggest that machine lear...
Researchers at George Washington University have developed a system to automatically summarize financial news using Large Language Models (LLMs). The ...
Researchers have developed a framework called UniLang that allows large language models to work with both natural language and machine-native symbols....
Researchers have developed a new method for registering LiDAR point clouds called CVSD-Reg. This approach distills visual semantic priors from a visio...
Researchers have proposed a new method for training autoregressive diffusion video models to generate coherent and dynamic videos. The previous approa...