Three papers probe looped Mixture-of-Experts scaling recipes
Read original source →arxiv.orgThree arXiv preprints examine looping shared Transformer blocks in sparse MoE LLMs under FLOPs-matched comparisons. One argues looping benefits for large MoE models remain unclear; another proposes flattening experts and untying attention; a third, LatentLoop, allocates compute asymmetrically across loop visits.
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10 days · 3 reports · from Oct 5
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