Results 161 to 170 of about 176,171 (277)
Simulation-Based Evaluation of a Large Language Model-Enabled Clinical Decision Support Platform in Oncology. [PDF]
Lajmi N +6 more
europepmc +1 more source
ABSTRACT Water is a fundamental necessity for our existence, but its rapid contamination is causing devastating effects on the environment and health of living species worldwide. Adsorptive removal of pollutants is one of the popular water treatment techniques because of its simplicity, affordability, and the broad range of available adsorbents.
Priyanka Negi +3 more
wiley +1 more source
Artificial Authority: The Promise and Perils of LLM Judges in Healthcare. [PDF]
Genovese A +7 more
europepmc +1 more source
The Impact of Educational LLM Agent Use on Teachers' Curriculum Content Creation: The Chain Mediating Role of School Support and Teacher Self-Efficacy. [PDF]
Xu H, Chen M, Wang M, Lu J.
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: Data-Driven Approach to Rehabilitation Efficiency. [PDF]
Chen PQ +7 more
europepmc +1 more source
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 +3 more
wiley +1 more source
A context-augmented large language model for accurate precision oncology medicine recommendations. [PDF]
Jun H +19 more
europepmc +1 more source
Abstract LLM detectors aim at detecting text generated by an LLM. They can be categorized into two main types: specific detectors and general detectors. Specific detectors target a particular type of language or context, such as hate speech or spam. In contrast, general detectors aim to identify a broad range of problematic languages, such as
openaire +1 more source
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 +3 more
wiley +1 more source

