Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
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arXiv:2608.24973v1 Announce Type: new Abstract: With the rapid development of large-scale pre-trained language models based on Transformer architectures, their high computational and memory costs have become a major obstacle to deployment, especially in resource-constrained environments. Traditiona…
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- 2026-08-27 04:00 · arXiv cs.LG
Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
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