Abstract Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a
comprehensive benchmark designed to evaluate large language models' adherence to …

Large language models (LLM) hold significant potential for applications in biomedicine, but
they struggle with hallucinations and outdated knowledge. While retrieval-augmented …

Separating disinformation from fact on the web has long challenged both the search and the
reasoning powers of humans. We show that the reasoning power of large language models …

Fact-checking using evidences is the preferred way to tackle the issue of misinformation in
the society. The democratization of information through social media has accelerated the …

This work introduces RARE (Retrieval-Augmented Reasoning Enhancement), a versatile
extension to the mutual reasoning framework (rStar), aimed at enhancing reasoning …

Artificial Intelligence (AI) technologies are increasingly capable of processing complex and
multilayered datasets. Innovations in generative AI and deep learning have notably …

Machine learning foundation models, particularly large language models (LLMs) such as
GPT-4o, have revolutionized traditional applications in computer vision and natural …

Although rapid advancements in Large Language Models (LLMs) are facilitating the
integration of artificial intelligence-based applications and services in healthcare, limited …