Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought
Researchers identify that MoE routing functions as a Huffman code, optimizing expert allocation based on token frequency and task complexity.
A new study reveals that Mixture-of-Experts (MoE) routing is not just a selection mechanism but an information-theoretic process. By applying the 'Frequency-Diversity Law,' the authors show that models like Phi-3.5-MoE and Gemma-4-27B-A4B dynamically route common tokens to sparse experts while reserving diverse expert committees for rare, complex tasks.
