SymbolicLight V1: Spike-Gated Dual-Path Language Modeling with High Activation Sparsity and Sub-Billion-Scale Pre-Training Evidence
Researchers have developed SymbolicLight V1, a novel spiking language model that integrates binary Leaky Integrate-and-Fire dynamics with a continuous residual stream. This model employs a unique Dual-Path SparseTCAM module, combining an aggregation path for long-range memory and a spike-gated local attention path for precision. A 194M-parameter version achieved a perplexity of 8.88-8.93 on a Chinese-English corpus with over 89% activation sparsity, outperforming GPT-2 124M while trailing GPT-2 201M. AI
IMPACT Introduces a novel spiking neural network architecture for language modeling, potentially paving the way for more energy-efficient AI.