AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Six submissions under the team name ESTS to the unconstrained WMT26 Model Compression Shared Task for English--Simplified Chinese and English--Egyptian Arabic are described, describing how they use task-specific routing mass to rank experts and cross-lingual routing divergence to allocate retained capacity across layer...
This paper presents a method for aggressively pruning experts from modern mixture-of-experts LLMs while incurring negligible degradation in translation quality, and shows that translation requires only a fraction of the LLM, enabling substantial compression of the MoE blocks that contain over 90% of parameters.
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