MermaidLLM: Dataflow Diagrams for Explainable Skill Formalization and Real-time Support with Multimodal LLMs

Gaze tracking deviceFigure 1: MermaidLLM uses MLLMs to comprehend expert skills from egocentric vision/gaze, formalizing them as dataflow diagrams (Mermaid).It then acts as a real-world agent, comparing the learner's context with the diagram and providing verbal guidance.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746058.3758449
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00

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article

MermaidLLM: Dataflow Diagrams for Explainable Skill Formalization and Real-time Support with Multimodal LLMs

Asphalt Pavement Performance Evaluation
article

MermaidLLM: Dataflow Diagrams for Explainable Skill Formalization and Real-time Support with Multimodal LLMs

article en

Abstract

Gaze tracking deviceFigure 1: MermaidLLM uses MLLMs to comprehend expert skills from egocentric vision/gaze, formalizing them as dataflow diagrams (Mermaid).It then acts as a real-world agent, comparing the learner's context with the diagram and providing verbal guidance.

Sony Computer Science Laboratories (JP), The University of Tokyo (JP)
Moonshot Research and Development Program
Openalex Percentile: Top 49%
Asphalt Pavement Performance Evaluation
DOIOpen Access PDFOpenAlex
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MermaidLLM: Dataflow Diagrams for Explainable Skill Formalization and Real-time Support with Multimodal LLMs · (2025) | TGRS Research Map | TGRS