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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Dae-Yeol Kim

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Open access 2026

Hybrid Spiking LoRA: Asymmetric Bit-Width Design for Language Model Adaptation With Theoretical Neuromorphic Efficiency Potential—A Case Study on Korean NLU

This paper proposes Hybrid Spiking LoRA, an asymmetric spiking adapter that replaces the LoRA down-projection with a one-bit spiking encoder while retaining a full-precision up-projection, and evaluates the method on Korean natural language understanding tasks covering topic classification, relation extraction, natural language inference, and extractive question answering.

Jae-Hwan Kim, Dae-Yeol Kim, Chae-Bong Sohn · 0 citations

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