Search Results - "Generative pre-trained transformers"

A unified comparative evaluation of machine learning, deep learning and GPT-2 for suicide ideation detection from social media.

Authors: Mohamed Saleh, Yasmeen Kamal Alsheref, Fahad Mohamed Bahloul, Mahmoud

Source: Future Business Journal. 6/2/2026, Vol. 12 Issue 1, p1-18. 18p.

OpenAI, Meta, SpaceXAI Compete for More Cost-Efficient AI Models.

Authors: Smillie, Lorelei Metz, Rachel

Source: Bloomberg.com. 7/12/2026, pN.PAG-N.PAG. 1p.

Altman Says OpenAI Made 'Many Changes' During Talks With US.

Authors: Smillie, Lorelei (AUTHOR)

Source: Bloomberg.com. 7/9/2026, pN.PAG-N.PAG. 1p.

OpenAI to Roll Out Top AI Model Globally After Limited Preview.

Authors: Ghaffary, Shirin Savov, Vlad

Source: Bloomberg.com. 7/8/2026, pN.PAG-N.PAG. 1p.

Trump Administration Asks OpenAI to Stagger AI Model Release.

Authors: Metz, Rachel (AUTHOR)

Source: Bloomberg.com. 6/25/2026, pN.PAG-N.PAG. 1p.

The rise of the Silicon Valley player-coach.

Authors: Nusca, Andrew (AUTHOR)

Source: Fortune.com. 5/7/2026, pN.PAG-N.PAG. 1p.

Zero-Shot Prediction Error from a Pre-Trained Transformer Model as a Building Energy Diagnostic: A Hierarchical Framework Beyond Annual EUI.

Authors: Yang, Hyun-Ho Kim, Jeong-Uk

Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 12, p2290, 27p

Performance of Large Language Models in Neurology Multiple‐Choice Questions.

Authors: Habibi, Gholamreza Gargari, Omid Kohandel Hosseini, Mostafa et al.

Source: Acta Neurologica Scandinavica. 6/1/2026, Vol. 2026, p1-7. 7p.

Subjects: Generative pre-trained transformers, Neurology, Artificial intelligence in medicine, Language models, Multiple choice examinations

Evaluating the Out-of-Domain Generalization in Source Code Vulnerability Detection.

Authors: Viet, Nin Ho Le Kim, Tuan Nguyen Quang, Chieu Ta

Source: Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p35548-35554, 7p

Reinforcement Learning-Supervised LLM: A Comparative Study of Prompt Engineering and Post-Hoc Filtering.

Authors: Damastuti, Fardani Annisa Gumelar, Agustinus Bimo Firmansyah, Kenan

Source: Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p35162-35170, 9p

Tibetan Sentiment Analysis Based on Cross-Language Sentence Vector Contrastive Distillation Learning.

Authors: Zhang, Rui Liu, Hongkai Li, Gege et al.

Source: KSII Transactions on Internet & Information Systems; Jun2026, Vol. 20 Issue 6, p2851-2873, 23p

Pentesting LLM Models With an Automated Framework.

Authors: López-Delgado, Juan Luis López-Ramos, Juan Antonio Murray, Richard

Source: International Journal of Intelligent Systems; 5/28/2026, Vol. 2026, p1-18, 18p

Tensor language model enables generative scheduling for efficient tensor compilation.

Authors: Mehmood, Sajid Arooj, Aqleema Al-Shamayleh, Ahmad Sami et al.

Source: Scientific Reports. 5/19/2026, Vol. 16 Issue 1, p1-22. 22p.

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis.

Authors: Liu, Tianyu Li, Kexing Wang, Yuge et al.

Source: Advanced Science. May2026, Vol. 13 Issue 27, p1-24. 24p.

Integrating Unsupervised Learning for the Factual Consistency of Generative Models.

Authors: Nair, Sindhu Rao, Y. S.

Source: Future Internet. May2026, Vol. 18 Issue 5, p235. 19p.

A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?

Authors: Chen, Yang Kirshner, Samuel N. Ovchinnikov, Anton et al.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Mar/Apr2025, Vol. 27 Issue 2, p354-368. 15p.

AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators.

Authors: Arora, Neeraj Chakraborty, Ishita Nishimura, Yohei

Source: Journal of Marketing. Mar2025, Vol. 89 Issue 2, p43-70. 28p.

Students' perspectives on GPT-4's supported problem solving.

Authors: Contel, Francesco Cusi, Annalisa

Source: Congress of the European Society for Research in Mathematics Education. 2/4/2026, Vol. 14, p3670-3677. 8p.

ChatGPT is going to replace us! Or not? "Narrative Insight" about secondary-tertiary transition in mathematics.

Authors: Turconi, Gaia Brunetto, Domenico Bernardi, Giulia

Source: Congress of the European Society for Research in Mathematics Education. 2/4/2026, Vol. 14, p1359-1366. 8p.

GPT models for text annotation: An empirical exploration in public policy research.

Authors: Churchill, Alexander Pichika, Shamitha Xu, Chengxin et al.

Source: Policy Studies Journal. Feb2026, Vol. 54 Issue 1, p1-17. 17p.