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Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
ICML2026接收：动态稀疏性突破LLM训练内存瓶颈，兼顾稳定性与实用规模化
arXiv:2606.00888v1 Announce Type: new Abstract: Dynamic Sparse Training (DST) offers a promising paradigm for improving the training and inference eff…