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Feynman: A Knowledge-Infused Diagramming Agent for VLM Challenges =================================================================
Feynman: A Knowledge-Infused Diagramming Agent for VLM Challenges =================================================================  ### elvis
@omarsar0
Current vision-language models still struggle with simple diagrams.
Feynman is a knowledge-infused diagramming agent that enumerates domain-specific concepts, plans visual representations, and translates them into declarative programs rendered by the Penrose diagramming system.
Great insights for those building agents for diagrams and visualizations.
One pipeline run produced 10,693 unique programs across math, CS, and science, each rendered into 10 layout variations, yielding over 106k well-aligned diagram-caption pairs.
Paper: arxiv.org/abs/2603.12597
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Mar 17, 2026, 2:39 PM View on X
2 Replies
4 Retweets
21 Likes
2,023 Views  elvis @omarsar0
One Sentence Summary
Feynman is a new knowledge-infused diagramming agent designed to overcome current vision-language models' struggles with simple diagrams by planning visual representations and translating them into declarative programs.
Summary
This tweet introduces 'Feynman,' a novel AI agent addressing the limitations of current vision-language models in understanding and generating simple diagrams. Feynman operates by enumerating domain-specific concepts, planning visual representations, and then translating these into declarative programs rendered by the Penrose diagramming system. The author highlights its utility for those developing agents for diagrams and visualizations, noting that one pipeline run generated over 106,000 well-aligned diagram-caption pairs across various scientific and mathematical domains. A link to the research paper is provided for further details.
AI Score
85
Influence Score 7
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Language
English
Tags
AI Agents
Vision-Language Models
Diagramming
Feynman
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Feynman: A Knowledge-Infused Diagramming Agent for VLM Ch... ===============