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Expert Tying

techniqueactiveprovisionalexpert-tying-7cee5802·1 events·first seen 25h ago

Aliases: Expert Tying

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6arXiv · cs.CL·25h ago·source ↗

Expert Tying reduces MoE LLM memory footprint by ~2x with minimal quality loss

Researchers introduce Expert Tying, an architectural modification for Mixture-of-Experts LLMs that shares expert parameters across consecutive transformer layers while keeping routing and attention layer-independent. Evaluated on OLMoE, Qwen3, and DeepSeek-style MoE architectures, the method achieves nearly 2x memory reduction with negligible perplexity or downstream quality degradation. The approach exploits parameter redundancy in MoE pathways to improve the compute-to-memory trade-off for training and inference.