Results 151 to 160 of about 63,129 (302)

PH-LLM: Public Health Large Language Models for Infoveillance

SummaryBackgroundThe effectiveness of public health intervention, such as vaccination and social distancing, relies on public support and adherence. Social media has emerged as a critical platform for understanding and fostering public engagement with health interventions.
Xinyu Zhou, Jiaqi Zhou, Chiyu Wang, Qianqian Xie, Kaize Ding, Chengsheng Mao, Yuntian Liu, Zhiyuan Cao, Huangrui Chu, Xi Chen, Hua Xu, Heidi J. Larson, Yuan Luo   +12 more
openaire   +2 more sources

Annotating aspects in text and image: A new task and dataset for multimodal aspect‐based sentiment analysis

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang, Jia Yang, Jin‐Cheon Na, Jianfei Yu   +3 more
wiley   +1 more source

THaLLE: Text Hyperlocally Augmented Large Language Extension -- Technical Report

Recent advancements in Large Language Models (LLMs) have revealed new capabilities and opportunities across the technological landscape. However, the practicality of very large LLMs is challenged by their high compute cost, which does not justify the ...
Balee, Pornchanan, Chalothorn, Tawunrat, Khamnuansin, Danupat, Labs, KBTG, Lertpiya, Anuruth, Lertsutthiwong, Monchai, Lodkaew, Thanawat, Petchsod, Atthakorn, Pongthawornkamol, Thadpong   +8 more
core  

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Timely detection of problematic research is essential for safeguarding scientific integrity. To explore whether social media commentary can serve as an early indicator of potentially problematic articles, this study analyzed 3815 tweets referencing 604 retracted articles and 3373 tweets referencing 668 comparable non‐retracted articles. Tweets
Er‐Te Zheng, Hui‐Zhen Fu, Mike Thelwall, Zhichao Fang   +3 more
wiley   +1 more source

LLMs for Cyber Security: New Opportunities

Large language models (LLMs) are a class of powerful and versatile models that are beneficial to many industries. With the emergence of LLMs, we take a fresh look at cyber security, specifically exploring and summarizing the potential of LLMs in ...
Divakaran, Dinil Mon, Peddinti, Sai Teja
core  

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

British Journal of Clinical Pharmacology, EarlyView.
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard, Diane Merino, Marc Labriffe, Fanny Rocher, Delphine Viard, Laurence Zemori, Thibaud Lavrut, Erik M. Donker, Joost D. Piët, Jean‐Paul Fournier, Milou‐Daniel Drici, Alexandre Destere   +11 more
wiley   +1 more source

Development and evaluation of large-language models (LLMs) for oncology: A scoping review. [PDF]

PLOS Digit Health
Mehan N, Desinghe TD, Saha A.
europepmc   +1 more source

RepoQA: Evaluating Long Context Code Understanding

Recent advances have been improving the context windows of Large Language Models (LLMs). To quantify the real long-context capabilities of LLMs, evaluators such as the popular Needle in a Haystack have been developed to test LLMs over a large chunk of ...
Daita, Vijay, Ding, Yifeng, Liu, Jiawei, Tian, Jia Le, Wang, Yuhan Katherine, Wei, Yuxiang, Yang, Jun, Zhang, Lingming   +7 more
core  

Student perspectives on AI‐supported formative assessment in pharmacology

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg, Øyvind Repstad, Trond Trætteberg Serkland, Tiril Egset Mork, Christian Bru, Olav Tenstad, Monika Kvernenes   +6 more
wiley   +1 more source

Large language models (LLMs) might be the future research language of nucleic acid. [PDF]

Int J Surg
Chakraborty C, Bhattacharya M, Das A, Islam MA.   +3 more
europepmc   +1 more source