Results 21 to 30 of about 106,494 (293)

Simulated Selfhood in LLMs: A Behavioral Analysis of Introspective Coherence

Large Language Models (LLMs) increasingly generate outputs that resemble introspection, including self-reference, epistemic modulation, and claims about their internal states.
Jose Augusto de Lima Prestes
core   +3 more sources

Extracting Publishing Data from the English Catalogue of Books

Journal of Open Humanities Data
The English Catalogue of Books (ECB) is a yearly record of books issued in England and Ireland compiled by the trade publication Publishers’ Circular, which ran from the mid-19th through the mid-20th centuries. During much of this period, London was home
Anna Preus, Siddharth Bhogra, John Carlyle   +2 more
doaj   +1 more source

How LLMs Might Think [PDF]

Do large language models (“LLMs”) think? Daniel Stoljar and Zhihe Vincent Zhang have recently developed an argument from rationality for the claim that LLMs do not think.
Gottlieb, Joseph, Trager, Matt, Kemp, Ethan   +2 more
core   +4 more sources

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Cloud-Based Large Language Model Deployment: A Comparative Analysis of Serverless and Bring-Your-Own-Container Architectures

Acta Informatica Pragensia
Background: Large Language Models (LLMs) have transformed research and industry applications; however, cloud deployment decisions remain complex and poorly documented, particularly for academic researchers operating under budget constraints.
Mateusz Ploskonka
doaj   +1 more source

Responsible Use of Artificial Intelligence Tools in Scientific Writing and Evaluation; Ethically Permissible and Impermissible Applications [PDF]

Iranian Journal of Information Processing & Management
The growing integration of artificial intelligence (AI) in scientific activities has led various stakeholders, particularly publishers and universities to establish regulations and standards to mitigate the potential negative impacts of this technology ...
Rahman Sharifzadeh
doaj   +1 more source

Testimony by LLMs

AI & SOCIETY
Abstract Artificial testimony generated by large language models (LLMs) can be a source of knowledge. However, the requirement that artificial testifiers must satisfy for successful knowledge acquisition is different from the requirement that human testifiers must satisfy.
Jinhua He, Chen Yang
openaire   +2 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Evaluating the potential of LLMs as analysis-support tools in the prioritization of critical infrastructures threats [PDF]

Revista Română de Informatică și Automatică
Critical infrastructure protection represents one of the greatest challenges of the past decade due to new cyber and physical threats, as well as those generated by climatic, geopolitical, or other forms of instability.
Ana-Maria CHISEGA-NEGRILĂ, Petrișor PĂTRAȘCU   +1 more
doaj   +1 more source

LLMs are Introvert

CoRR
The exponential growth of social media and generative AI has transformed information dissemination, fostering connectivity but also accelerating the spread of misinformation. Understanding information propagation dynamics and developing effective control strategies is essential to mitigate harmful content. Traditional models, such as SIR, provide basic
Litian Zhang, Xiaoming Zhang, Bingyu Yan, Ziyi Zhou 0003, Bo Zhang, Zhenyu Guan, Xi Zhang 0008, Chaozhuo Li   +7 more
openaire   +2 more sources