JunyiYe/TextFlow
[NAACL 2025] Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
This helps researchers in AI and natural language processing to better understand and work with flowcharts presented as images. It takes a flowchart image as input and converts it into a structured text representation like Mermaid or Graphviz, then uses that text to answer questions about the flowchart. The output is a clear, textual explanation or answer, offering more control and insight into the reasoning process. This is for researchers and developers working on AI models for visual understanding.
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Use this if you need a more transparent and controllable way to process and reason about information contained in flowchart images, especially when developing or evaluating AI models.
Not ideal if you're an end-user simply looking to create flowcharts or get quick answers without needing to delve into the underlying AI mechanisms.
Stars
20
Forks
3
Language
Python
License
MIT
Category
Last pushed
Aug 23, 2025
Commits (30d)
0
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