Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models
cs.LG, cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Spikingformer: A Key Foundation Model for Spiking Neural Networks
- SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
- Winner-Take-All Spiking Transformer for Language Modeling
- SpikePool: Event-driven Spiking Transformer with Pooling Attention
- SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
- BiBERT: Accurate Fully Binarized BERT
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