Persona-MME
PersonaVLM: Long-Term Personalized Multimodal LLMs
Chang Nie, Chaoyou Fu, Yifan Zhang, Haihua Yang, Caifeng Shan · 2026-03-20
- Modality
- Image
- Data
- Hybrid (real + synthetic/simulated)
- Task · ground truth
- QA/Gen. · Ans.
- Scope
- Benchmark with memory tracks
What it tests
- CECross-modal evidenceDirectly evaluated
- LELong-range evidenceDirectly evaluated
- SCState changesDirectly evaluated
- CFConflicting memoriesNot evaluated
- UQUnanswerable queriesNot evaluated
- MAMemory-grounded actionNot evaluated
- FGFine-grained visual detailPartially evaluated
- ETEntity trackingDirectly evaluated
- VCVisual state changeDirectly evaluated
Survey notes
Longitudinal multimodal dialogues contain changing user attributes; held-out questions explicitly probe personalized memory and history-dependent understanding.