Author

Ming-Yang Li

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Preprint Sep 2026

LazFormer: Scaling Transformers for Industrial Recommendation via Transferable Generative Pre-training

A transferable residual adapter that injects additional ranking-specific features into ranking in a residual manner and an asymmetric multi-epoch training strategy that resets sparse parameters while continuously accumulating dense parameters across epochs, alleviating the overfitting of sparse parameters are proposed.

Xiao-Dong Li, Alin Fan, Ming-Yang Li et al. · 0 citations