ChatGraPhT: A Visual Conversation Interface for Multi-Path Reflection with Agentic LLM Support
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
Large Language Models (LLMs) are increasingly used in complex knowledge work, yet linear transcript interfaces limit support for reflection. Schon's Reflective Practice distinguishes between reflection-in-action (during a task) and reflection-on-action (after a task), both benefiting from non-linear, revisitable representations of dialogue. ChatGraPhT is an interactive tool that shows dialogue as a visual map, allowing users to branch and merge ideas, edit past messages, and receive guidance that prompts deeper reflection. It supports non-linear, multi-path dialogue, while two agentic LLM assistants provide moment-to-moment and higher-level guidance. Our inquiry suggests that keeping the conversation structure visible, allowing branching and merging, and suggesting patterns or ways to combine ideas deepened user reflective engagement. Contributions are: (1) the design of a node-link, agentic LLM interface for reflective dialogue, and (2) transferable design knowledge on balancing structure and AI support to sustain reflection in complex, open-ended tasks.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 9 of its 46 references that are in the map. First posted on arXiv 28 Dec 2025.
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9 of 46 references.
Closest ancestors · 3
Same direction, newest first
- 2025Agentic Large Language Models, a survey29 Mar
- 2024Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design17 Jun
- 2023A Survey on Large Language Model based Autonomous Agents22 Aug
Other references · 6
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- 2014Node, Node-Link, and Node-Link-Group Diagrams: An Evaluationcited by 5
- 2025"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representationcited by 3
- 2021The Development and Validation of the Technology-Supported Reflection Inventorycited by 1
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