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Parallelizable memory recurrent units
提出可并行化的记忆循环单元,突破传统RNN序列计算瓶颈,显著提升训练效率
arXiv:2601.09495v3 Announce Type: replace Abstract: With the emergence of massively parallel processing units, parallelization has become a desirable …
提出可并行化的记忆循环单元,突破传统RNN序列计算瓶颈,显著提升训练效率
arXiv:2601.09495v3 Announce Type: replace Abstract: With the emergence of massively parallel processing units, parallelization has become a desirable …
固定精度Transformer在描述语言时的简洁性,指数级优于线性时序逻辑和循环神经网络,理论证明其强大表达能力。
arXiv:2510.19315v3 Announce Type: replace-cross Abstract: We study succinctness as a measure of the expressive power of transformers. Succinctness -- …