Selective-pivot-token training plus layer-averaging-with-recurrence reportedly gives 2.5x parameter compression on a small Korean LLM, but the efficiency claim lacks its decisive controls and the abstract advertises results absent from the body.
DeepSeek-V3 technical report.Preprint at https://arxiv.org/abs/2412
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CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield
Selective-pivot-token training plus layer-averaging-with-recurrence reportedly gives 2.5x parameter compression on a small Korean LLM, but the efficiency claim lacks its decisive controls and the abstract advertises results absent from the body.