Compute-Optimal Scaling Laws for Spiking Language Models
cs.LG, cs.CL, cs.NE
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- Scaling Laws for Neural Language Models
- Surrogate Gradient Learning in Spiking Neural Networks
- Reconciling Kaplan and Chinchilla Scaling Laws
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
- RWKV: Reinventing RNNs for the Transformer Era
- Scaling Laws for Linear Complexity Language Models
- SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
- Feature Learning in Infinite-Width Neural Networks
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
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