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Author

Santanu Kolay

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Jul 2026

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

This work proposes Request-Oriented Compute Sharing (ROCS), a modeling and inference paradigm that exploits a unique property of recommendation inference: each user request is evaluated against many candidates, while request-side features are shared across candidates.

Yuxin Chen, Liang Luo, Buyun Zhang et al. · 0 citations
Preprint Aug 2026

MISO: Model-Internal-State-Guided Optimization for Ranking Models

Model Internal State Optimization (MISO), a systems workflow that uses model internal states (MIS), including parameters, activations, gradients, and normalization statistics, to prioritize such local optimization decisions.

Yongzhen Zhang, Xiaoyu Deng, Yifan He et al. · 0 citations

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