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SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks., , and . CoRR, (2023)RWKV: Reinventing RNNs for the Transformer Era., , , , , , , , , and 22 other author(s). EMNLP (Findings), page 14048-14077. Association for Computational Linguistics, (2023)Tensor decomposition based attention module for spiking neural networks., , , , , and . Knowl. Based Syst., (2024)Tensor Decomposition Based Attention Module for Spiking Neural Networks., , , , , and . CoRR, (2023)Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks., , , , , and . AAAI, page 601-610. AAAI Press, (2024)Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence., , , , , , , , , and 18 other author(s). CoRR, (2024)RWKV: Reinventing RNNs for the Transformer Era., , , , , , , , , and 20 other author(s). CoRR, (2023)When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron., , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks., , , , , and . CoRR, (2023)Uni-Match: A Semantic Unified Model for Query-Product Retrieval., , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)