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Xiaoying Tang

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Open access Jul 2026

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs

An Adaptive Depth Sparse Framework (AdaDSF) that converts off-the-shelf pre-trained LLMs into depth-sparse models without full retraining and consistently yields smaller accuracy degradation than strong baselines including MoD, D-LLM, and DLO.

Yi-Da Wu, Xiang Wang, Kejie Zhao et al. · 0 citations