Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …

Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …

Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …

Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …

Clinical trials are often hindered by the challenge of patient recruitment. In this work, we
introduce TrialGPT, a first-of-its-kind large language model (LLM) framework to assist patient …

Objective Most existing fine-tuned biomedical large language models (LLMs) focus on
enhancing performance in monolingual biomedical question answering and conversation …

Abstract PubTator 3.0 (https://www. ncbi. nlm. nih. gov/research/pubtator3/) is a biomedical
literature resource using state-of-the-art AI techniques to offer semantic and relation …

2Dataset Science Research Institute, Research Institute for Future Medicine, Samsung
Medical Center, Seoul, Republic of Korea dataset. The self-supervision dataset for the LLMs …

Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely
used in various workflows. However, due to a limited understanding of these large-scale …