新闻
Multi-View MoE: Letting Every Router Shape Expert Computation
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Multi-View MoE improves sparse mixture-of-experts models by using multiple routers to select experts and modulate their computation, gaining 1.18 percentage points on downstream tasks.
- 为何重要
- Relevant for engineers optimizing large language models with mixture-of-experts architectures who need better expert selection under fixed computational budgets.
- 注意
- Results shown on a single 10B-parameter model trained on 708B tokens; generalization to other scales and training regimes remains unclear.
- token
- mixture-of-experts
- eval
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