se-ubt/llm-guidelines-website
Dec 2025 – Dec 2025
1 Month active
Languages Used
BibTeXTeX
Technical Skills
AI integrationdocumentationliterature reviewsoftware engineeringtechnical writing
dennis9707
PROFILE
Dennis9707
Junda He enhanced the se-ubt/llm-guidelines-website repository by updating documentation that describes the use of large language models as judges in software engineering. Focusing on clarity and readability, Junda integrated AI concepts and conducted a literature review to ensure the documentation accurately reflected current practices in automated code evaluation and bias mitigation. Using TeX and BibTeX, Junda improved the structure and consistency of technical writing, addressing typographical issues to support governance and future development. The work provided a foundation for evaluating LLM-based judgments, demonstrating depth in both software engineering and documentation, and enabling more transparent and reliable guideline adoption.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
36
Activity Months1
Your Network
22 peopleSame Organization
@smu.edu.sg4
Shared Repositories
18
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focusing on documentation quality and readability for LLM-based judgments in software engineering. Delivered targeted documentation updates and corrected typographical issues to improve clarity, consistency, and trust in automated judgment approaches. This work supports governance, evaluation, and future feature work in the LLM-guidelines space.
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12 focusing on documentation quality and readability for LLM-based judgments in software engineering. Delivered targeted documentation updates and corrected typographical issues to improve clarity, consistency, and trust in automated judgment approaches. This work supports governance, evaluation, and future feature work in the LLM-guidelines space.
December 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
BibTeXTeX
Technical Skills
AI integrationdocumentationliterature reviewsoftware engineeringtechnical writing
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