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Daniel J. Saunders

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#machine learning Preprint Oct 2026

Compute-Optimal Scaling Laws for Spiking Language Models

Spiking neural networks target energy-efficient language modeling through sparse, binary activations, but the efficiency-accuracy tradeoff of spiking language models is uncharacterized at scale. We present the first Chinchilla-style IsoFLOP scaling study of a spiking language model, sweeping SpikeGPT-family models (RWK...

Daniel J. Saunders, Benjamin Ren, Catherine He · 0 citations

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