LaboroAI at LLMs4OL-2026 (Flagship and Reuse Tasks)

[xinyiz1019]

Team: LaboroAI
Challenge variants: Flagship task, Reuse task

We are submitting our system as a self-contained Jupyter notebook, implementing our best configurations for both tasks:
LaboroAI_LLMs4OL2026_submission.ipynb

[HamedBabaei]

Dear @xinyiz1019 thanks for the submission. I will mark your submissions as a completed. We will use this submission to do the integration.

[HamedBabaei]

System Integration Submission Checklist

Team Name: LaboroAI
Challenge Variant: LLMs4OL 2026 Flagship task and Reuse task
Submission Type: Notebook

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General Requirements

• Team name and challenge variant are included in the issue (or PR) title.
• The submission is complete and executable.
• Unit tests are included for the core system components.
• A methodological diagram is included.
• A link to the project GitHub repository is included.

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Jupyter Notebook Submission

Environment Setup

• Notebook includes an environment setup section.
• All required dependencies are installed using pip install.
• Notebook runs successfully without additional manual setup.

Modular Implementation

• Code is organized into clearly defined sections.
• Each section begins with a short Markdown description.
• Code follows directly after each description.
• Inline comments explain non-trivial implementation details.

Model Execution

• A dedicated execution section is provided.
• A single execution cell serves as the main entry point.
• Separate main functions are provided for different configurations (if applicable).
• Entry function(s) accept required input paths (e.g., test dataset, training dataset).

Unit Testing

• A final section contains unit tests.
• Tests verify the core functionality of the implementation.

Additional Information

• Methodological Diagram:
• Project Repository:
• Additional Notes:

This comment will be updated based on integration progress and checking the submissions. This will be on the OntoLearner Team, and there will be no need for the authors to do so. Unless you (as a co-author) want to add more information or want to be involved in the integration process.