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LLM and Natural Language Interaction / LLM Prompt Engineering and Authoring Tools

How accurate and relevant are prompts and guidance generated by LLM assistants in software help contexts?

helpResearch questionLLM Prompt Engineering and Authoring Tools

How accurate and relevant are prompts and guidance generated by LLM assistants in software help contexts?

IUI '24Why and When LLM-Based Assistants Fail: Exploring the Effectiveness of Prompt-Based Interaction for Software Help-Seeking

Similar questions

helpResearch questionLLM Prompt Engineering and Authoring Tools

How can LLMs' instruction alignment performance be evaluated when executing complex multi-instruction prompts?

IUI '25CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering

helpResearch questionLLM Prompt Engineering and Authoring Tools

Can user-involved dynamic evaluation frameworks improve prompt engineering efficiency and result quality?

IUI '25CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering

helpResearch questionLLM Prompt Engineering and Authoring Tools

Can decomposing and automatically generating evaluation criteria more precisely identify LLM alignment issues?

IUI '25CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering

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?

CHI '25Exploring Modular Prompt Design for Emotion and Mental Health Recognition

helpResearch questionLLM Prompt Engineering and Authoring Tools

Which persona and task instruction configurations in prompt design significantly affect model performance?

CHI '25Exploring Modular Prompt Design for Emotion and Mental Health Recognition

helpResearch questionLLM Prompt Engineering and Authoring Tools

What impact do component interactions in modular prompt design have on task outcomes?

CHI '25Exploring Modular Prompt Design for Emotion and Mental Health Recognition

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CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering

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Exploring Modular Prompt Design for Emotion and Mental Health Recognition

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Design Guidelines for Prompt Engineering Text-to-Image Generative Models

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