EvolvingLMMs-Lab/lmms-eval
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
data processingimage processingmachine learningnatural language processingsoftware development
Tao Xijia
PROFILE
Tao Xijia
In February 2026, Cielll Tao developed the MMSearch-Plus VQA Task for the EvolvingLMMs-Lab/lmms-eval repository, focusing on enhancing multimodal visual reasoning for browsing agents. Using Python and leveraging skills in data processing and machine learning, Cielll designed and implemented a structured dataset alongside comprehensive evaluation metrics to enable rigorous assessment of agent performance. This work addressed the need for measurable and reproducible multimodal evaluation, laying a foundation for future improvements in the toolkit. The feature was delivered without major bugs, reflecting careful engineering and attention to detail, and aligned with the broader roadmap for robust multimodal software development and assessment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
436
Activity Months1
Your Network
76 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Key feature delivered in lmms-eval with MMSearch-Plus VQA Task to enhance multimodal visual reasoning for browsing agents. Implemented a structured dataset and accompanying evaluation metrics to enable rigorous assessment. All changes tracked under the commit f52b48c437ea5fd7aab038dcb9f6fb6fa838d58a (Add MMSearch-Plus (#1054)). Impact includes stronger multimodal capabilities, measurable evaluation, and alignment with the roadmap for robust multimodal tooling. No major bugs reported this month.
1 Commits • 1 Features
Feb 1, 2026February 2026: Key feature delivered in lmms-eval with MMSearch-Plus VQA Task to enhance multimodal visual reasoning for browsing agents. Implemented a structured dataset and accompanying evaluation metrics to enable rigorous assessment. All changes tracked under the commit f52b48c437ea5fd7aab038dcb9f6fb6fa838d58a (Add MMSearch-Plus (#1054)). Impact includes stronger multimodal capabilities, measurable evaluation, and alignment with the roadmap for robust multimodal tooling. No major bugs reported this month.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
data processingimage processingmachine learningnatural language processingsoftware development
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