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CHI2025顶会

PlanTogether: Facilitating AI Application Planning Using Information Graphs and Large Language Models

Dae Hyun Kim, Daeheon Jeong, Shakhnozakhon Yadgarova, Hyungyu Shin, Jinho Son, Hariharan Subramonyam, Juho Kim

2025年份
5被引次数
1顶会引用

摘要

In client-AI expert collaborations, the planning stage of AI application development begins from the client; a client outlines their needs and expectations while assessing available resources (pre-collaboration planning). Despite the importance of pre-collaboration plans for discussions with AI experts for iteration and development, the client often fails to reflect their needs and expectations into a concrete actionable plan. To facilitate pre-collaboration planning, we introduce PlanTogether, a system that generates tailored client support using large language models and a Planning Information Graph, whose nodes and edges represent information in the plan and the information dependencies. Using the graph, the system links and presents information that guides client’s reasoning; it provides tips and suggestions based on relevant information and displays an overview to help understand the progression through the plan. A user study validates the effectiveness of PlanTogether in helping clients navigate information dependencies and write actionable plans reflecting their domain expertise.

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