
Xuan Long contributed to the WING-NUS/wing-website repository by developing and maintaining features that enhanced publication metadata, author attribution, and project documentation. Over three months, Xuan Long updated BibTeX and Markdown records to standardize author and publication data, improving data quality for search and integration. They created and refined project pages, clarified onboarding criteria, and aligned documentation with evolving research goals in AI and machine learning. Their work emphasized content management, technical writing, and documentation governance, resulting in more reliable metadata, clearer project narratives, and improved onboarding materials. The contributions demonstrated depth in both technical execution and cross-functional collaboration.
December 2025 monthly summary for WING-NUS/wing-website. Focused on refining project scope, updating governance artifacts, and aligning onboarding criteria with strategic goals for self-improving/self-adapting agents initiatives. Delivered updated project descriptions to reflect real-time learning/adaptation, test-time scaling for reliability of foundation models, and self-correction without additional training, along with clarified team eligibility criteria. This work sets the groundwork for future prototyping, improved external communications, and clearer onboarding for researchers. Demonstrated strong documentation, governance, and cross-functional collaboration to translate research ambitions into actionable project artifacts.
December 2025 monthly summary for WING-NUS/wing-website. Focused on refining project scope, updating governance artifacts, and aligning onboarding criteria with strategic goals for self-improving/self-adapting agents initiatives. Delivered updated project descriptions to reflect real-time learning/adaptation, test-time scaling for reliability of foundation models, and self-correction without additional training, along with clarified team eligibility criteria. This work sets the groundwork for future prototyping, improved external communications, and clearer onboarding for researchers. Demonstrated strong documentation, governance, and cross-functional collaboration to translate research ambitions into actionable project artifacts.
August 2025 monthly summary for WING-NUS/wing-website focusing on business value and technical achievements. Delivered two feature updates: author profiles and publication records maintenance, and Self-Improving and Self-Adapting Agents project page updates. No major bugs reported this month. Impact: improved author attribution accuracy, publication metadata integrity, and clearer project narratives, with improved site maintainability. Technologies/skills demonstrated: content management, metadata handling (Bio, BibTeX, dates, venues), new project page creation and content governance, and Git-based traceability.
August 2025 monthly summary for WING-NUS/wing-website focusing on business value and technical achievements. Delivered two feature updates: author profiles and publication records maintenance, and Self-Improving and Self-Adapting Agents project page updates. No major bugs reported this month. Impact: improved author attribution accuracy, publication metadata integrity, and clearer project narratives, with improved site maintainability. Technologies/skills demonstrated: content management, metadata handling (Bio, BibTeX, dates, venues), new project page creation and content governance, and Git-based traceability.
February 2025 monthly summary for WING-NUS/wing-website: Implemented publication metadata and bibliography updates to improve author metadata, add new publications, and standardize titles across markdown files, index entries, and BibTeX records. The work enhances data quality for display, search, and downstream integrations, enabling accurate attribution and discoverability.
February 2025 monthly summary for WING-NUS/wing-website: Implemented publication metadata and bibliography updates to improve author metadata, add new publications, and standardize titles across markdown files, index entries, and BibTeX records. The work enhances data quality for display, search, and downstream integrations, enabling accurate attribution and discoverability.

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