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Hyper-parallel decoding on a distilled 4B LLM matches frontier model information extraction accuracy while operating at an 8% compute footprint.
Directly embedding quantile tokens into input sequences leads to sharper and more accurate distribution predictions, outperforming traditional methods by a substantial margin.
