UltraArUco is a lightweight library and framework for mobile augmented reality (AR) marker-based tracking. It reduces per-frame latency by six times c...
Researchers have developed a framework called CLAIR-Fin to improve the accuracy of financial question-answering systems. The system uses a multi-agent...
Researchers have proposed a new framework called HMS-SCP for task-oriented semantic communication in cooperative perception. This framework aims to im...
Researchers have studied the behavior of large language models (LLMs) when they interact with each other in a simulated vending environment. They foun...
Researchers have developed a new method for explaining how graph neural networks make predictions. The method, called NICE, uses a technique called No...
Researchers have adapted a classic social psychology experiment to study how large language models (LLMs) respond to authority. The Milgram paradigm, ...
Researchers have proposed a new framework for in-context search called LENS. It allows AI models to find relevant information in dynamic raw documents...
OceanDepths is a new global dataset that combines surface and subsurface ocean observations. It pairs satellite data with in situ measurements from th...
Researchers have developed a large language model called Palmyra x6, optimized for enterprise-oriented tasks that require tool use. The model was buil...
Researchers propose a new framework called MD-SigLIP to improve brain-language decoding. This method aligns brain embeddings with text embeddings in a...
Researchers have proposed a framework for multimodal large language models to make decisions that take into account the uncertainty of their output. T...
Researchers from the University of Edinburgh and Johns Hopkins University have found that there is no theoretical limit to how many languages a single...