Search Results - "Prompt engineering"

AI Agent for PMO: An exploration of n8n orchestration and prompt engineering applied to a project's communications.

Authors: Sanhueza B., Luis lsanhba@gmail.com

Source: PM World Journal. May2026, Vol. 15 Issue 5, p1-24. 24p.

Multimodal Prompt Learning for Spatial Reasoning in Remote Sensing Image Scene.

Authors: Ren, Yan Qian, Haizhong Jiang, Bingchuan et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1959. 28p.

Subjects: Remote sensing, Prompt engineering, Machine learning

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.

Subjects: Penetration testing (Computer security), Prompt engineering, Language models, Internet security, Generative pre-trained transformers

Clinical drug report generation using multi-phase prompt large language models.

Authors: Khan, Shaian Lor, Mohammadreza Akbari Sperry, Morgan L. et al.

Source: Scientific Reports. 7/2/2026, Vol. 16 Issue 1, p1-13. 13p.

REGULATORY EFFECTS OF GENERATIVE AI ON SELF-REGULATED LEARNING AND AI LITERACY: A MIXED-METHODS STUDY.

Authors: AKPINAR, Yavuz KUTBAY, Ekrem

Source: Turkish Online Journal of Distance Education (TOJDE). Jul2026, Vol. 27 Issue 3, p1-24. 24p.

Subject Terms: *Self-regulated learning, *Generative artificial intelligence, *Mixed methods research, *Cognitive psychology, *Educational technology, *Lesson planning, Prompt engineering, Artificial intelligence in education

МЕТОД ПІДВИЩЕННЯ ЯКОСТІ БАГАТОКЛАСОВОЇ КЛАСИФІКАЦІЇ ЗА ДОПОМОГОЮ LLM.

Alternate Title: А METHOD TO IM PROVE THE QUAL ITY OF MULTI-CLASS CLAS SI FI CA TION US ING LLM.

Authors: ЖАРКОВ, Д. Є. ТУЛЬЧИНСЬКИЙ, В. Г.

Source: Cybernetics & Systems Analysis / Kibernetyka ta Systemnyi Analiz. 2026, Issue 4, p35-42. 8p.

Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.

Authors: Zhou, Nana Zhao, Xianhua Zhou, Fengjun et al.

Source: PLoS ONE. 6/26/2026, Vol. 21 Issue 6, p1-20. 20p.

ARPG+: a simulation-based study of real-time coaching for educational LLM prompting.

Authors: Ye, Pei-Gen Mo, Kanghua Long, Yucheng et al.

Source: International Journal of Educational Technology in Higher Education. 6/17/2026, Vol. 23 Issue 1, p1-33. 33p.

Subject Terms: *Cognitive load, *Learner autonomy, *Educational technology, *Instructional systems, *Tutors & tutoring, Prompt engineering, Simulation methods & models, Language models

Using LLMs for Pre-Annotation of Emotional Manipulation Techniques in a Low-Resource Language Corpus: Are We There Yet?

Authors: Butkienė, Rita Šukys, Algirdas Dambrauskas, Edgaras et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6251, 29p

Improving LLM-Assisted Domain-Specific Design Tasks Through Domain-Structured Persona Prompting.

Authors: Zhao, Shifan Ji, Danwen

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5770, 22p

Prompt engineering in the age of generative AI: Insights from public discourse on social media.

Authors: Ng, Reuben Chow, Ting Yu Joanne

Source: PLoS ONE. 6/11/2026, Vol. 21 Issue 6, p1-12. 12p.

A CLIP-based framework for multiclass lung histopathology classification with prompt engineering and class-imbalance-aware focal optimization.

Authors: Munawar, Sadia Hanif, Fareeha Raza, Ali et al.

Source: Scientific Reports. 6/10/2026, Vol. 16 Issue 1, p1-26. 26p.

From Prompts to Pedagogy: Preservice Teachers' Experiences with AI-Assisted Math and Science Integrated Lesson Planning.

Authors: Cho, Hoyun¹

Source: Ohio Journal of School Mathematics. Summer2026, Vol. 103, p58-73. 16p.

Subject Terms: *Lesson planning, *Intelligent tutoring systems, *Reflective teaching, *Science education, *Mathematics education, *Student teachers, *Digital literacy, Prompt engineering

Prompt-Driven LLM Pipeline for Topic Modeling of Multiple Sclerosis Social Media Discussions.

Authors: Alamoudi, Yasmeen Babour, Amal Almatrafi, Omaima

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5316, 21p

Prompt Architecture as a High-Impact Design Factor in Expert-Rated Clinical Documentation Quality: A Controlled Comparative Study in Inpatient Rehabilitation.

Authors: Eceizabarrena-Matxinandiarena, Idoia Frutos-Reoyo, Emilio Javier Guerrero-Rojas, José Ignacio et al.

Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p617. 17p.

Automated PROMISE V2 Scoring from PSMA PET/CT Reports Using Large Language Models: A Comparative Evaluation of Prompt Design and Model Performance.

Authors: Speicher, Tilman Demirkol, Isa Ethem Blickle, Arne et al.

Source: Current Oncology. Jun2026, Vol. 33 Issue 6, p349. 13p.

Interaction with LLM-Based Systems: A Structured Review and Taxonomy of Mechanisms and Autonomy.

Authors: Nejašmić, Dino Mladenović, Saša Granić, Andrina

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p5001, 25p

Prompt Engineering for Big Data Analysis Using Large Language Models: A Study for Smart Maintenance in Industry 4.0.

Authors: Patrício, Leonel Varela, Leonilde

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4967, 24p

Innovative Advertising Data Analysis Method: Workflow Design Based on Federated Learning and Large Language Models.

Authors: Li, Jialu¹, Jialu29Li@outlook.com

Source: International Arab Journal of Information Technology (IAJIT); May2026, Vol. 23 Issue 3, p489-504, 16p

Generating Contextualised Stories with Generative Artificial Intelligence (GenAI) for Inclusive Science Classrooms.

Authors: Goyal, Yashi Chander, Subhash

Source: Malaysian Journal of Qualitative Research. May2026, Vol. 12 Issue 1, p61-76. 16p.