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Author

Shao-Lin Yu

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Aug 2026

MoDora: A Multimodal Document AI Assistant Harness

MoDora is presented, an interactive, tree-structured multimodal document analysis agent harness designed to make the document analysis process transparent and controllable, and introduces an end-to-end user experience through three core functionalities.

Yu-Kai Wu, Bang-Rui Xu, Shao-Lin Yu et al. · 0 citations
Aug 2026

Bridging NL2SQL for CAN Signal Analytics at NIO: From Externalized Schemas to CTE Pipelines

NIO-Weaver is presented, an end-to-end CAN signal analytics system within a graph-augmented multi-agent framework that outperforms baselines by up to 67.2% and an optimized retrieval method that extracts terms from queries and performs hybrid retrieval is proposed.

Wei Zhou, Hao-Yu Zhao, Rui-Guang Zhong et al. · 1 citation

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