ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

Conversational generative AI has demonstrated remarkable promise for empowering
biomedical practitioners, but current investigations focus on unimodal text. Multimodal …

Abstract Recent advances in Large Language Models (LLMs) have achieved remarkable
breakthroughs in understanding and responding to user intents. However, their performance …

Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

This research paper focuses on the challenges posed by hallucinations in large language
models (LLMs), particularly in the context of the medical domain. Hallucination, wherein …

We explore how continued pre-training on domain-specific corpora influences large
language models, revealing that training on the raw corpora endows the model with domain …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

Large language models (LLMs) have shown promise for generative and knowledge-
intensive tasks including question-answering (QA) tasks. However, the practical deployment …

The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have
showcased extraordinary abilities in performing a wide range of tasks. Such models are …