Researchers have developed MedStruct-S, a new benchmark for evaluating AI models' ability to extract semi-structured information from clinical reports...
Researchers have developed a system for extracting relevant information from optical character recognition (OCR) clinical reports. The system uses a t...
Researchers have created a benchmark called EgoMemReason to evaluate the ability of artificial intelligence models to reason over long periods of time...
Researchers have proposed ICICLE, a new framework for in-context document retrieval that aims to improve the efficiency of adding new documents to a d...
Researchers have developed a deep-learning framework called DELOS that can detect shallow transits in Kepler photometry. The framework uses contrastiv...
Researchers have been studying why language models sometimes fail to choose the correct word when given two similar options. They've found that this f...
A scoping review of brain-computer interfaces (BCIs) has mapped the field's progress toward restoring sensory function in individuals with severe neur...
Researchers have proposed a solution to the problem of language model pretraining when there is limited data available. They suggest using training-ti...
Researchers have made progress in understanding the behavior of discrete-time Pontryagin systems. They've found that under certain conditions, these s...
Researchers have proposed a hybrid pipeline that combines artificial neural networks (ANNs) with spiking neural networks (SNNs). They use a pretrained...
Researchers have identified a mechanism behind language identity in multilingual transformers. They introduced Language Identity Head Ablation (LIHA),...
Researchers have developed a new method for training robots to perform dexterous tasks, such as picking and placing objects, using a combination of si...