Author

Zun-Hai Su

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Preprint Aug 2026

UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models

Sparse mixture-of-experts (MoE) layers expand recommendation capacity through conditional computation, yet a trained checkpoint still stores and routes over its full expert bank. We study a deployment problem: convert that checkpoint to a smaller standard MoE under an explicit expert budget, without adding a compressio...

Lei Xin, Bin Gu, Peize Li et al. · 3 citations

#small language model Preprint Aug 2026

DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization

DAMP uses both quantization-error energy and decay-based persistence to identify high-risk channels during offline calibration and stores these channels at higher precision and the remainder in INT8, the first to study post-training quantization of recurrent states in GDN and KDA based language models.

Tao Zhang, Jian-Chao Tan, Ping-Wei Sun et al. · 4 citations · ⚡2