helpResearch questionLLM Prompt Engineering and Authoring Tools
Can decomposing complex tasks through chaining improve transparency and controllability of large language models (LLMs)?LLM and Natural Language Interaction / LLM Prompt Engineering and Authoring Tools
Can decomposing complex tasks through chaining improve transparency and controllability of large language models (LLMs)?
Similar questions
helpResearch questionLLM Prompt Engineering and Authoring Tools
How can LLMs' instruction alignment performance be evaluated when executing complex multi-instruction prompts?helpResearch questionLLM Prompt Engineering and Authoring Tools
Can user-involved dynamic evaluation frameworks improve prompt engineering efficiency and result quality?helpResearch questionLLM Prompt Engineering and Authoring Tools
Can decomposing and automatically generating evaluation criteria more precisely identify LLM alignment issues?helpResearch questionLLM Prompt Engineering and Authoring Tools
How can modular prompts be designed to optimize LLM performance in emotion and mental health state classification tasks?helpResearch questionLLM Prompt Engineering and Authoring Tools
Which persona and task instruction configurations in prompt design significantly affect model performance?helpResearch questionLLM Prompt Engineering and Authoring Tools
What impact do component interactions in modular prompt design have on task outcomes?Related papers
IUI 2025
CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering
Ishika Joshi, Simra Shahid, Shreeya Manasvi Venneti
CHI 2025
Exploring Modular Prompt Design for Emotion and Mental Health Recognition
Minseo Kim, Taemin Kim, Thu Hoang Anh Vo
IUI 2024
Empirical Evidence on Conversational Control of GUI in Semantic Automation
Daniel Karl I. Weidele, Mauro Martino, Abel N. Valente
IUI 2024
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
Savvas Petridis, Benjamin D Wedin, James Wexler
CHI 2023
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
J.D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann
CHI 2022
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu, Michael Terry, Carrie J Cai
CHI 2022
Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing
Ji-Youn Jung, Sihang Qiu, Alessandro Bozzon
CHI 2022
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu, Lydia B Chilton