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Run-Yuan Cai

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#artificial intelligence Preprint Sep 2026

V-Engram: Trigger-Indexed External Memory for Modular Text-to-Image Personalization

Pretrained text-to-image models contain broad visual knowledge, yet they cannot reliably acquire or refine a specific visual identity from only a few references while preserving compositional control. Token-embedding methods are compact but often underfit identity, whereas adapter-based methods improve fidelity through...

Hao-Ran He, Run-Yuan Cai, Yi-Ming Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

Mixture-of-experts (MoE) inference on consumer hardware is bounded by weight memory: a 35B-class model is 19.5GB at 4-bit, and sparsity shrinks the compute per token, not the bytes that must be held. Naive offloading to SSD does not help on its own, because layer N+1's experts must be chosen before layer N's output exi...

Yu Lin, Yi-Ming Wang, Run-Yuan Cai et al. · 0 citations

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