Transformer-based large language models often suffer from inter-layer parameter redundancy, where functional transformations are redundantly learned across network depths. We propose CS-MoE, a novel Transformer architecture featuring cross-layer expert sharing to address this inefficiency. Deviating from the widely use...
Dian Jiao, Jiaxin Duan, Shuai Zhao et al.· 0 citations
This paper proposes ViCo, a training framework for visual-oriented coding that employs iterative reflections to align generated chart images progressively with the reference and proposes an automatic, multifaceted evaluation framework that assesses charts'style, layout, and semantic consistency via a hierarchical heter...
Jiaxin Duan, Dian-Jiao-Shuai Zhao, Jia-Bing Leng et al.· 0 citations
A novel pipeline framework, PiPMRE, developed on language models to enhance MRE performance, which surpasses the previous state-of-the-art by an average of 5.6 recall points and 4.4 accuracy points and is demonstrated in few-shot settings.
Jiaxin Duan, Fengyu Lu, Jun-Fei Liu· Annual Meeting of the Cognit...· 0 citations
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