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Awesome-Personalization-in-MLLMs
Awesome-Personalization-in-MLLMs: Awesome papers on personalization in LLMs/MLLMs: memory, alignment, and evaluation.
AgentScore
20.50.00
+0.00 vs 24h ago
Adoption10.0
Quality50.0
Momentum50.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesMemory
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars15→ 20.1MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 10.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 6d ago.