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Jialuo

PROFILE

Jialuo

During January 2026, Li Jiulong developed the PAIBench-U Perception Score Evaluation feature for video datasets in the EvolvingLMMs-Lab/lmms-eval repository. He engineered an end-to-end workflow in Python, focusing on data processing and metrics aggregation to generate actionable perception scores for video analysis tasks. By implementing robust result processing and integrating YAML-based configuration, Li enabled reproducible quality assurance metrics and streamlined evaluation for video data. His work improved decision-making speed and repository alignment for video dataset QA, laying the foundation for broader adoption and future extensions. The depth of his contribution reflects strong skills in Python, machine learning, and video analysis.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
199
Activity Months1

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

2026-01 Monthly summary: Delivered end-to-end PAIBench-U Perception Score Evaluation for video datasets in lmms-eval, including result processing and metric aggregation; no major bugs reported; overall impact includes improved evaluation capabilities, faster decision-making, and better repository alignment for video data QA. Demonstrated Python data processing, metrics engineering, and Git-based collaboration.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Python programmingdata processingmachine learningvideo analysis

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

EvolvingLMMs-Lab/lmms-eval

Jan 2026 Jan 2026
1 Month active

Languages Used

PythonYAML

Technical Skills

Python programmingdata processingmachine learningvideo analysis

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