Beyond Routing: Decoupling Expert Dispatch and Aggregation in Sparse Mixture-of-Experts
Zongfei Li
cs.LG
Submitted: 2026-08-09
Updated: 2026-08-11
Comments: 8 pages, 1 figure, 5 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
- Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
- Mixtral of Experts
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
- OLMoE: Open Mixture-of-Experts Language Models
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
- DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
- SDG-MoE: Signed Debate Graph Mixture-of-Experts
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