Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Our team at the UK Dementia Research Institute’s Biomarker Factory at UCL are part of the global effort working to develop ...

Introduction Patient safety event reporting systems are widely used, yet organisations face challenges analysing the high volume of incident reports. While low-harm events represent the majority of ...

Abstract: Test-Time Adaptation (TTA) has recently emerged as a promising research direction, enabling vision-language models (VLMs) to adapt to unlabeled test data in zero-shot settings. Among TTA ...

ChartMuseum is a chart question answering benchmark designed to evaluate reasoning capabilities of large vision-language models (LVLMs) over real-world chart images. The benchmark consists of 1162 ...

Despite the growing recognition of the need for specialized training in emergency language skills, educational frameworks in which disaster scenarios are integrated into language pedagogy remain ...

According to DeepLearning.AI, researchers from Mila, Microsoft, and academic institutions have introduced Delethink, a reinforcement learning technique designed to enhance language models by ...