Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention

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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.

Linear RNNs based on the delta-rule enable efficient sequence modeling, but their linear updates with a low-rank correction constrain their expressivity. Prior work has shown that composing two delta-rule transitions in a single recurrent update can model a 2D rotation, but this increases the rank and the cost of the updates compared to a single transition. We show that Kimi Delta Attention (KDA) can realize 2D rotations by combining a single delta-rule transformation with a second reflection supplied by its channel-wise gate. This requires extending the parameter ranges of KDA by combining two existing range extensions: allowing gates in [-1,1] and the delta-rule coefficient β in [0,2]. We call the resulting model Complex KDA (CKDA). It preserves KDA's stability and efficiency, with transitions that remain diagonal-plus-rank-one and non-expansive, while reaching the state-tracking expressivity of DeltaProduct_2. We characterize the expressivity of CKDA and prove that every orthogonal diagonal-plus-rank-one matrix is exactly a CKDA transition matrix. A single CKDA layer can track every finite group isomorphic to a subgroup of SO(3), and many state-tracking results use one fewer layer for CKDA compared to other diagonal-plus-rank-one Linear RNNs. Empirically, combining both extensions yields the strongest length extrapolation among tested KDA range settings on S_3, S_4, and periodic audio continuation. In language modeling, CKDA outperforms Transformers and other linear RNNs, obtains similar results to a KDA baseline, and shows promising scaling behavior. Our code is open source at https://github.com/OpenEuroLLM/ComplexKDA and our models are available at https://huggingface.co/collections/openeurollm/complexkda.
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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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#### openeurollm/complex-kda-1.3B-100B Text Generation• 1B• Updatedabout 5 hours ago • 27 • 1 #### openeurollm/kda-sigmoid-1.3B-100B Text Generation• 1B• Updatedabout 5 hours ago • 8 • 1 #### openeurollm/complex-kda-hybrid-1.3B-100B Text Generation• 1B• Updatedabout 5 hours ago • 8 • 1 #### openeurollm/kda-sigmoid-hybrid-1.3B-100B Text Generation• 1B• Updatedabout 5 hours ago • 13 • 1

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