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[2603.02188] Multi-Head Low-Rank Attention

at each step. While Multi-Head Latent Attention (MLA) significantly reduces the total KV cache size, it suffers from a sharding bottleneck during distributed decoding via Tensor Parallelism (TP). Since...

arxiv.org 3月2日

[2602.04702] Fine-Grained Frame Modeling in Multi-head Self-Attention for ...

where the most informative frames are first selected through a multi-head voting (MHV) module. These selected frames are then refined via a cross-layer refinement (CLR) module to enhance the mod...

arxiv.org 2月4日

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万网 2月12日

...in Accounting Transactions via Multi-Head Self-Attention Networks

multi-head self-attention is then constructed to capture global dependencies and aggregate features from multiple perspectives, thereby enhancing the ability to detect abnormal patterns. The network ...

arxiv.org 2025年11月15日

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制造商名录 2024年6月18日

[2505.17344] A Multi-Head Attention Soft Random Forest for Interpretable ...

Abstract page for arXiv paper 2505.17344: A Multi-Head Attention Soft Random Forest for Interpre... arXiv-issued DOI via DataCite (pending registration) Submission history Access Paper: View a PD...

arxiv.org 2025年5月22日

[2503.20995] Multi-head Reward Aggregation Guided by Entropy

a straightforward entropy-guided approach that composes multi-head rewards by downweighting rules exhibiting high rating entropy. Theoretically, we demonstrate that rules with elevated entropy natu...

arxiv.org 2025年3月26日

[2502.17987] MAGE: Multi-Head Attention Guided Embeddings for Low ...

Abstract page for arXiv paper 2502.17987: MAGE: Multi-Head Attention Guided Embeddings for L... arXiv-issued DOI via DataCite (pending registration) Submission history Access Paper: View a PD...

arxiv.org 2025年2月25日

[2504.02778] Multi-Head Adaptive Graph Convolution Network for Sparse ...

Abstract page for arXiv paper 2504.02778: Multi-Head Adaptive Graph Convolution Network for S... this https URLSubjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs...

arxiv.org 2025年4月3日

...Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention

View PDFAbstract:We study how multi-head softmax attention models are trained to perform in-co... arXiv-issued DOI via DataCite Submission history Access Paper: View a PDF of the paper titled In...

arxiv.org 2025年3月17日

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[2603.02188] Multi-Head Low-Rank Attention

[2602.04702] Fine-Grained Frame Modeling in Multi-head Self-Attention for ...

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