Clare-Nie/Awesome-Personalization-in-MLLMs
Awesome papers on personalization in LLMs/MLLMs: memory, alignment, retrieval, and evaluation.
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0
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18.8
Radar Score
Stable
Momentum
Scoring Breakdown
Impact4.6
Velocity24.3
Health33.7
Growth Metrics
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30-Day Stars
+0
Acceleration
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Organic Growth
95%
High Confidence
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License
Unlicensed / Custom
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Health Grade
C
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Radar Score
18.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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