arxiv.org
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search
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阅读原文 ↗Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search: arXiv:2606.23739v1 Announce Type: new Abstract: We present an automated large-scale search pipeline for heterogeneous 4-Expert Mixture-of-Experts (MoE4) architectures within the LEMUR neural network dataset ecosystem. Bu
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痛点信号
- building on a hand-crafted heterogeneous moe reference model, we replace manual design with a deterministic code-assembly generator that systematically combines base architecture families drawn from the lemur database into moe4 ensembles, each governed by a convolutional gating network with temperature scaling, mixup augmentation, and cosine-annealed learning rate scheduling.
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