[HTML][HTML] A comprehensive evaluation of large language models on benchmark biomedical text processing tasks
Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …
capability to solve a wide range of tasks. However, despite their success across various …
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Biomedical literature is growing rapidly, making it challenging to curate and extract
knowledge manually. Biomedical natural language processing (BioNLP) techniques that …
knowledge manually. Biomedical natural language processing (BioNLP) techniques that …
ChatGPT vs human-authored text: Insights into controllable text summarization and sentence style transfer
D Pu, V Demberg - arxiv preprint arxiv:2306.07799, 2023 - arxiv.org
Large-scale language models, like ChatGPT, have garnered significant media attention and
stunned the public with their remarkable capacity for generating coherent text from short …
stunned the public with their remarkable capacity for generating coherent text from short …
Overview of the biolaysumm 2024 shared task on the lay summarization of biomedical research articles
This paper presents the setup and results of the second edition of the BioLaySumm shared
task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP …
task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP …
[HTML][HTML] Faithful AI in medicine: a systematic review with large language models and beyond
Artificial intelligence (AI), especially the most recent large language models (LLMs), holds
great promise in healthcare and medicine, with applications spanning from biological …
great promise in healthcare and medicine, with applications spanning from biological …
Retrieval augmentation of large language models for lay language generation
The complex linguistic structures and specialized terminology of expert-authored content
limit the accessibility of biomedical literature to the general public. Automated methods have …
limit the accessibility of biomedical literature to the general public. Automated methods have …
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …
produced. Revealing strong semantic connections hidden in those unstructured data is …