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Can annotation-driven privacy notice code generation improve development efficiency and reduce cognitive load?

helpResearch questionLLM Code Generation and Programming Assistants

Can annotation-driven privacy notice code generation improve development efficiency and reduce cognitive load?

UbiComp '21Honeysuckle: Annotation-Guided Code Generation of In-App Privacy Notices

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helpResearch questionLLM Code Generation and Programming Assistants

How can an AI assistant supporting natural language interaction be designed to generate complex LLM workflows?

CHI '25ChainBuddy: An AI-assisted Agent System for Generating LLM Pipelines

helpResearch questionLLM Code Generation and Programming Assistants

What key role does a multi-agent architecture play in collecting requirements and generating LLM workflows?

CHI '25ChainBuddy: An AI-assisted Agent System for Generating LLM Pipelines

helpResearch questionLLM Code Generation and Programming Assistants

What advantages does ChainBuddy offer over existing tools in reducing LLM workflow design difficulty and improving satisfaction?

CHI '25ChainBuddy: An AI-assisted Agent System for Generating LLM Pipelines

helpResearch questionLLM Code Generation and Programming Assistants

How can information processing tasks (IPTs) be described in natural language to optimize communication between humans and LLMs?

CHI '25How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

helpResearch questionLLM Code Generation and Programming Assistants

What are the effects of programming experience, example use, and interactivity on task description and understanding?

CHI '25How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

helpResearch questionLLM Code Generation and Programming Assistants

How do LLMs such as GPT-4 differ in performance when directly answering questions versus generating code?

CHI '25How Humans Communicate Programming Tasks in Natural Language and Implications For End-User Programming with LLMs

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