Copertina

Exploring Prompt Engineering Practices in the Enterprise

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Desmond, Michael, Brachman, Michelle
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
di: Ding, Zijian, et al.
Pubblicazione: (2025)

From Prompt Engineering to Prompt Science With Human in the Loop
di: Shah, Chirag
Pubblicazione: (2024)

Exploring ReAct Prompting for Task-Oriented Dialogue: Insights and Shortcomings
di: Elizabeth, Michelle, et al.
Pubblicazione: (2024)

PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering
di: Gutheil, Niklas, et al.
Pubblicazione: (2025)

Evaluating the Prompt Steerability of Large Language Models
di: Miehling, Erik, et al.
Pubblicazione: (2024)

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
di: Geyer, Werner, et al.
Pubblicazione: (2025)

Improving Ontology Requirements Engineering with OntoChat and Participatory Prompting
di: Zhao, Yihang, et al.
Pubblicazione: (2024)

Exploring Multimodal Prompt for Visualization Authoring with Large Language Models
di: Wen, Zhen, et al.
Pubblicazione: (2025)

PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
di: Reza, Mohi, et al.
Pubblicazione: (2024)

Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows
di: Gmeiner, Frederic, et al.
Pubblicazione: (2025)

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
di: Ma, Qianou, et al.
Pubblicazione: (2024)

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering
di: Zhang, Tanghaoran, et al.
Pubblicazione: (2024)

Autonomous Prompt Engineering in Large Language Models
di: Kepel, Daan, et al.
Pubblicazione: (2024)

LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering
di: Kovalerchuk, Boris, et al.
Pubblicazione: (2025)

Prompt Engineering for Scale Development in Generative Psychometrics
di: Russell-Lasalandra, Lara Lee, et al.
Pubblicazione: (2026)

Design Generative AI for Practitioners: Exploring Interaction Approaches Aligned with Creative Practice
di: Peng, Xiaohan, et al.
Pubblicazione: (2026)

Agentic Enterprise: AI-Centric User to User-Centric AI
di: Narechania, Arpit, et al.
Pubblicazione: (2025)

From Prompts to Worlds: How Users Iterate, Explore, and Make Sense of AI-Generated 3D Environments
di: Pyae, Aung
Pubblicazione: (2026)

Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course
di: Xiao, Ruiwei, et al.
Pubblicazione: (2026)

ACCESS: Prompt Engineering for Automated Web Accessibility Violation Corrections
di: Huang, Calista, et al.
Pubblicazione: (2024)

Prompt Engineering a Schizophrenia Chatbot: Utilizing a Multi-Agent Approach for Enhanced Compliance with Prompt Instructions
di: Waaler, Per Niklas, et al.
Pubblicazione: (2024)

Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach
di: Guan, Wenqi, et al.
Pubblicazione: (2025)

Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
di: Li, Ziyou, et al.
Pubblicazione: (2025)

Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
di: Chen, Si, et al.
Pubblicazione: (2025)

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
di: Drosos, Ian, et al.
Pubblicazione: (2024)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
di: Sahoo, Pranab, et al.
Pubblicazione: (2024)

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
di: Wang, Zhijie, et al.
Pubblicazione: (2024)

Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity
di: Palmini, Maria-Teresa De Rosa, et al.
Pubblicazione: (2025)

Current and Future Use of Large Language Models for Knowledge Work
di: Brachman, Michelle, et al.
Pubblicazione: (2025)

Evaluation and Incident Prevention in an Enterprise AI Assistant
di: Maharaj, Akash V., et al.
Pubblicazione: (2025)

The Evolution of LLM Adoption in Industry Data Curation Practices
di: Qian, Crystal, et al.
Pubblicazione: (2024)

Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art
di: Trinh, Khoi, et al.
Pubblicazione: (2024)

A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
di: Sonntag, Daniel, et al.
Pubblicazione: (2024)

FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
di: Hu, Silan, et al.
Pubblicazione: (2024)

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
di: Xiao, Ruiwei, et al.
Pubblicazione: (2025)

Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models
di: Vinay, Rasita, et al.
Pubblicazione: (2024)

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
di: Lam, Michelle S., et al.
Pubblicazione: (2024)

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
di: Hou, Xinying, et al.
Pubblicazione: (2025)

DoYouTrustAI: A Tool to Teach Students About AI Misinformation and Prompt Engineering
di: Driscoll, Phillip, et al.
Pubblicazione: (2025)

Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
di: Woo, David James, et al.
Pubblicazione: (2023)