POV Video and Mental Practice Training for Neonatal LMA Insertion

BabyVision Benchmark Reveals MLLMs Fail at Basic Visual Tasks That 3-Year-Olds Can Solve

This paper introduces BabyVision, a benchmark designed to assess core visual reasoning abilities in Multimodal LLMs (MLLMs) independent of l

Driving Evidence-Based Practice: The Role of CINAHL Ultimate

Video Models Demonstrate Zero-Shot Learning Capabilities Similar to Large Language Models

The article discusses how video models like Veo 3 are demonstrating zero-shot learning capabilities similar to Large Language Models (LLMs),

Stanford Health AI Week explores responsible AI implementation in medicine

Stanford Health AI week brought together experts from academia, industry, government and nonprofits to discuss the responsible, effective an

Structure and videodisc adaptation of the transition competence battery (TCB) for deaf adolescents and young adults

Verbalized Sampling: A Training-Free Method to Mitigate Mode Collapse and Improve LLM Output Diversity

This paper identifies a fundamental data-level cause of mode collapse in LLM post-training alignment: typicality bias in preference data, wh

Verbalized Sampling: A Training-Free Method to Mitigate Mode Collapse and Improve LLM Output Diversity

This paper identifies a fundamental data-level cause of mode collapse in LLM post-training alignment: typicality bias in preference data, wh