Large language models and autonomous AI agents have evolved rapidly, resulting in a
diverse array of evaluation benchmarks, frameworks, and collaboration protocols. Driven by …

Large language models (LLMs) are a type of artificial intelligence, which operate by
predicting and assembling sequences of words that are statistically likely to follow from a …

Hallucinations in foundation models arise from autoregressive training objectives that
prioritize token-likelihood optimization over epistemic accuracy, fostering overconfidence …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

With the rapid evolution of Large Language Models (LLMs), LLM-based agents and Multi-
agent Systems (MAS) have significantly expanded the capabilities of LLM ecosystems. This …

Abstract Large Language Models (LLMs) are transforming healthcare through LLM-based
agents that can understand and assist with medical tasks. This survey examines the …

Rapid advancements in artificial intelligence (AI), particularly large language models (LLMs)
and multimodal AI, are transforming medicine through enhancements in diagnostics, patient …

Among the rapid integration of artificial intelligence in clinical settings, large language
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …

The remarkable success of Large Language Models (LLMs) has illuminated a promising
pathway toward achieving Artificial General Intelligence for both academic and industrial …

Importance An emergency medicine (EM) handoff note generated by a large language
model (LLM) has the potential to reduce physician documentation burden without …