Future-House/paper-qa
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentPrompt EngineeringPythonSoftware DevelopmentUnit Testing
harryvu-futurehouse
PROFILE
Harryvu-futurehouse
Worked on the Future-House/paper-qa repository to enhance document handling and citation prompt reliability in automated QA workflows. Addressed type-mismatch errors by updating the DocDetails.merge function to treat bibtex_source and client_source as lists, ensuring safer merging of document details and adding targeted unit tests for mixed-type scenarios. Improved citation prompt generation by dynamically retrieving the current year using Python’s datetime module, replacing hard-coded values and validating the change with new tests. These backend development efforts focused on Python and prompt engineering, resulting in more robust document processing, reduced runtime errors, and improved maintainability for paper-qa’s document workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
125
Activity Months1
Your Network
10 peopleSame Organization
@futurehouse.org1
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 summary: In Future-House/paper-qa, delivered robustness and data-quality improvements for document handling and citation prompts. Implemented DocDetails.merge adjustments to treat bibtex_source and client_source as lists to prevent type-mismatch errors when merging across document details, with tests added. Updated citation prompts to dynamically fetch the current year via datetime, eliminating hard-coded year values and added tests to validate the dynamic year usage. These changes improve reliability of document processing and prompt generation, reduce runtime errors in automated QA workflows, and enhance overall user experience in generated papers.
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 summary: In Future-House/paper-qa, delivered robustness and data-quality improvements for document handling and citation prompts. Implemented DocDetails.merge adjustments to treat bibtex_source and client_source as lists to prevent type-mismatch errors when merging across document details, with tests added. Updated citation prompts to dynamically fetch the current year via datetime, eliminating hard-coded year values and added tests to validate the dynamic year usage. These changes improve reliability of document processing and prompt generation, reduce runtime errors in automated QA workflows, and enhance overall user experience in generated papers.
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture90.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentPrompt EngineeringPythonSoftware DevelopmentUnit Testing
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