[Paper] xHC: Expanded Hyper-Connections - Scale Residual Streams Wider · Push Model Intelligence Further

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Researchers have introduced Expanded Hyper-Connections (xHC), a new way to scale model performance by expanding the parallel 'lanes' of data within a Transformer. While previous methods hit a wall at 4 streams due to computational costs, xHC uses optimized mixing to go much wider without the overhead. This offers a new scaling axis for model intelligence that doesn't rely solely on adding more layers or parameters.