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20202026
most citedRISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure

2 citations · 4 across the 15 of their papers we have counts for

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cs.AR2026

ESR-HGNN: Eliminating Semantic Redundancy for Efficient Mini-batch HGNN Inference

Dengke Han, Mingyu Yan, Duo Wang +3

Heterogeneous graph neural networks (HGNNs) are highly effective in processing heterogeneous graph data and have been widely adopted in critical domains. As real-world graph data c…

cs.AR2026

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

Ma Zirui, Fan Zhihua, Li Wenxing +4

Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches w…