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Articles by Zhongbin Guo
Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction
Published on Aug 12 · Submitted by IceInPot on Aug 17 · ByteDance Abstract GAS improves multimodal understanding by using generation as auxiliary supervision via next embedding prediction and a decoupled mixture-of-transformers architecture, with no inference overhead. While Multimodal Large Language Models (MLLMs) have achieved remarkable progress, visual understanding and generation are typically treated as divergent objectives.
DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes
Published on Jul 27 · Submitted by IceInPot on Jul 28 Abstract While data curation for Vision Language Models (VLMs) is increasingly active, public practice for constructing pretraining mixtures remains largely heuristic: practitioners stack datasets that pass quality filters, set cross-domain ratios by intuition, and lack a principled, attributable criterion for admitting new data, while frontier recipes remain undisclosed.
Magnetically Actuated Origami Robots with Multimodal Self-Powered Sensing Enabled by Dual-Mode Triboelectric Nanogenerators
L.Peng, J.Wang, Z.Guo, et al. “Magnetically Actuated Origami Robots with Multimodal Self-Powered Sensing Enabled by Dual-Mode Triboelectric Nanogenerators.” Advanced Functional Materials (2026): e75709. https://doi.org/10.1002/adfm.75709 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
Computer Science > Artificial Intelligence
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