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 …

The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

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

Pretrained language models have served as important backbones for natural language
processing. Recently, in-domain pretraining has been shown to benefit various domain …

Large-scale language models (LLMs), such as ChatGPT, are capable of generating human-
like responses for various downstream tasks, such as task-oriented dialogues and question …

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 …

The BioASQ question answering (QA) benchmark dataset contains questions in English,
along with golden standard (reference) answers and related material. The dataset has been …

Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …

Biomedical literature is growing rapidly, making it challenging to curate and extract
knowledge manually. Biomedical natural language processing (BioNLP) techniques that …

Objectives To enhance the performance of large language models (LLMs) in biomedical
natural language processing (BioNLP) by introducing a domain-specific instruction dataset …