LatentLoop
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- LatentLoop reallocates compute across looped MoE passes
LatentLoop compresses the sequence during a looped Mixture-of-Experts model's first pass, keeps the second at full resolution, and uses the saved compute to increase the hidden size. It shares MoE weights across passes while using separate attention parameters, and the authors report lower validation NLL across 15 configurations from 1.3B to 7B parameters, along with improved average scores on nine benchmarks.
Hugging Face · Papers · 🔥 0
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