TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
Recent agentic systems demonstrate that large language models can generate complex codebases from natural language prompts. Despite this progress, they present reliability concerns for scientific visualization due to invalid operations, subtle errors, and failure to resolve underspecified inputs. These challenges are compounded in real-world workflows that exceed the complexity of standard benchmarks. In this work, we introduce TopoPilot, a reliable and extensible agentic framework for automating complex scientific visualization workflows. We focus on topological data analysis and visualization as a primary use case, while designing the framework to generalize to broader visualization dom...
| Authors | Nathaniel Gorski, Shusen Liu, Bei Wang |
|---|---|
| Primary category | cs.HC |
| Published | 26 March 2026 |
| Last updated at source | 9 October 2026 |
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