Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

Large Language Models (LLMs) provide a possibility to make a great breakthrough in
medicine. The establishment of a standardized medical benchmark becomes a fundamental …

Large Language Models (LLMs) have introduced a new era of proficiency in comprehending
complex healthcare and biomedical topics. However, there is a noticeable lack of models in …

Integrating large language models (LLMs) into healthcare holds great potential but faces
challenges. Pre-training LLMs from scratch for domains like medicine is resource-heavy and …

Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …

The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs)
presents a promising frontier in clinical applications, notably in automating diagnostic …

Adapting a language model into a specific domain, akadomain adaption', is a common
practice when specialized knowledge, eg medicine, is not encapsulated in a general …

The emergence of various medical large language models (LLMs) in the medical domain
has highlighted the need for unified evaluation standards, as manual evaluation of LLMs …

Generalist Large Language Models (LLMs), such as GPT-4, have shown considerable
promise in various domains, including medical diagnosis. Rare diseases, affecting …