[r/ML] [R] Attention Residuals by Kimi Team

Summary

The Kimi Team introduces "Attention Residuals (AttnRes)" as an alternative to standard residual connections in LLMs. This new method replaces fixed-weight aggregation with softmax attention over preceding layer outputs, aiming to prevent uncontrolled hidden-state growth and dilution of individual layer contributions in deep models. By allowing layers to selectively aggregate information, AttnRes could lead to more stable and effective training of deeper LLMs.

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