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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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Zhang-Sheng Xiang

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Conference Open access 2026

Don't Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation

SARK is proposed, a style-augmented multi-task framework that prioritizes effective knowledge over stylistic perturbations in the reranker model and improves generation performance across multiple LLMs under mixed-style conditions.

Ruwen Zhang, Bo Liu, Zhang-Sheng Xiang et al. · 0 citations

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