UniAR leverages a large multimodal model to generate hierarchical diagnostic descriptions at the word, phrase, and sentence levels, compensating for the lack of paired clinical reports, and demonstrates that it offers a robust and interpretable framework for ASD screening under semantic scarcity.
Lei Xin, Ze-Heng Wang, Jia-Ying Zhu et al.· 0 citations
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
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.
Think with Structured Grounding (TwSG), a novel fine-grained image perception framework designed to internalize complex images's tool-use capabilities within the model, is proposed, endowing models with native fine-grained region description and flexible reasoning capabilities.
Chang-Jiang Jiang, Qian-Nian Zhao, Lei Xin et al.· 2 citations
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