Results 141 to 150 of about 239,466 (252)
Ethical Risks and Safeguards in Generative AI: Managing Impacts on Cognition and Decision-Making
This study concentrates on the double-edged nature of AI as an innovation enabler and a source of ethical issues such as hallucinations, disinformation, and output variability and brittleness of large language models (LLMs) to prompts and context. As AI
Houda BOUMEDIENE +2 more
doaj
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
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Development and evaluation of large-language models (LLMs) for oncology: A scoping review. [PDF]
Mehan N, Desinghe TD, Saha A.
europepmc +1 more source
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley +1 more source
When AI outputs become documents: Documentation activity in human–AI dialogue
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley +1 more source
Large language models (LLMs) might be the future research language of nucleic acid. [PDF]
Chakraborty C +3 more
europepmc +1 more source
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 +11 more
wiley +1 more source
What will the future role for large language models (LLMs) be in managing patients with glaucoma? [PDF]
Tavakoli K, Hallaj S, Baxter SL.
europepmc +1 more source
Empowering Patient Autonomy: The Role of Large Language Models (LLMs) in Scaffolding Informed Consent in Medical Practice. [PDF]
Allen JW, Levy N, Wilkinson D.
europepmc +1 more source

