Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention
Summary
This paper introduces Complex KDA, an enhanced version of Kimi Delta Attention that combines a delta-rule transformation with a reflection to achieve greater expressivity, outperforming Transformers in some tasks while maintaining efficiency, with open-source code and models available.
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Paper page - Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention
Source: https://huggingface.co/papers/2609.24797 Authors:
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Abstract
LinearRNNsbasedonthedelta-ruleenableefficientsequencemodeling,buttheirlinearupdateswithalow-rankcorrectionconstraintheirexpressivity.Priorworkhasshownthatcomposingtwodelta-ruletransitionsinasinglerecurrentupdatecanmodela2Drotation,butthisincreasestherankandthecostoftheupdatescomparedtoasingletransition.WeshowthatKimiDeltaAttention(KDA)canrealize2Drotationsbycombiningasingledelta-ruletransformationwithasecondreflectionsuppliedbyitschannel-wisegate.ThisrequiresextendingtheparameterrangesofKDAbycombiningtwoexistingrangeextensions:allowinggatesin[-1,1]andthedelta-rulecoefficientβin[0,2].WecalltheresultingmodelComplexKDA(CKDA).ItpreservesKDA’sstabilityandefficiency,withtransitionsthatremaindiagonal-plus-rank-oneandnon-expansive,whilereachingthestate-trackingexpressivityofDeltaProduct_2.WecharacterizetheexpressivityofCKDAandprovethateveryorthogonaldiagonal-plus-rank-onematrixisexactlyaCKDAtransitionmatrix.AsingleCKDAlayercantrackeveryfinitegroupisomorphictoasubgroupofSO(3),andmanystate-trackingresultsuseonefewerlayerforCKDAcomparedtootherdiagonal-plus-rank-oneLinearRNNs.Empirically,combiningbothextensionsyieldsthestrongestlengthextrapolationamongtestedKDArangesettingsonS_3,S_4,andperiodicaudiocontinuation.Inlanguagemodeling,CKDAoutperformsTransformersandotherlinearRNNs,obtainssimilarresultstoaKDAbaseline,andshowspromisingscalingbehavior.Ourcodeisopensourceathttps://github.com/OpenEuroLLM/ComplexKDAandourmodelsareavailableathttps://huggingface.co/collections/openeurollm/complexkda.
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