arXiv Machine Learning July 28, 2026 By Haotian Jiang, Zeyu Bao, Shida Wang, Qianxiao Li

Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions

Read the original on arXiv Machine Learning →

arXiv:2506. 05678v3 Announce Type: replace Abstract: The evolution of sequence modeling architectures, from recurrent neural networks and convolutional models to Transformers and structured state-space models, reflects ongoing efforts to address the diverse temporal dependencies inherent in sequential data.

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