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Fan-Hu Zeng

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#artificial intelligence Preprint Sep 2026

UniAR: A Unified Framework for Autism Recognition Enhanced by Multi-View Prompt Learning

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder for which early and accurate diagnosis is critical to improving long-term developmental outcomes. However, existing ASD recognition methods are often constrained by the scarcity of diagnostic text data, forcing them to rely mainly on visual analysi...

Lei Xin, Ze-Heng Wang, Jia-Ying Zhu et al. · 0 citations
#machine learning Preprint Sep 2026

The Token Before the Value Is the Key: How Hybrid Architectures Organize Induction Circuits

Hybrid language models can improve capability as well as efficiency, raising the question of how architectural complementarity becomes learned computation. We examine the established induction roles of Carrying predecessor information, Matching a source by content, and Copying its value. How are these position-sensitiv...

Ke Cheng, Xin Xu, Yi-Xiao Chen et al. · 0 citations
Preprint Aug 2026

UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models

UniMoMo, a post-training compression framework formulated as a constrained graph coarsening problem, is introduced, and a layer-adaptive protection mechanism that restricts the merging of high-traffic experts based on their routing exposure is introduced.

Lei Xin, Bin Gu, Peize Li et al. · 3 citations

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