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Shriniwas Ramesh Suram

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#artificial intelligence Preprint Aug 2026

Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study

This work pre-register training of 137M MoE language models with auxiliary locality and domain router losses, under joint criteria on cache-miss reduction and perplexity, and shows training-free cache-aware rerouting stacks with trained locality are trainable.

Shriniwas Ramesh Suram · 0 citations