Sumit on Mythryl: “LoopGR: Parameter-Efficient Scaling for Generative Recommendation…”

LoopGR: Parameter-Efficient Scaling for Generative Recommendation via Recurrent Depth Reuses a shared decoder and a light context updater in recurrent loops to add depth without adding parameters, then distills it into a cheaper low-loop student. 📝 arxiv.org/abs/2610.34157

arxiv.orgLoopGR: Parameter-Efficient Scaling for Generative Recommendation via Recurrent DepthGenerative recommendation formulates item recommendation as autoregressive generation rather than a discriminative scoring problem. Although empirical studies exhibit favorable scaling behavior in rec...

27/10/26, 6:23 pm0 reposts0 likes

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