作者位次 #2/5NeurIPS 2026Poster
Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
Shiqi Zhang · Weixin Zeng · Ziheng Zhang · Jiuyang Tang · Xiang Zhao
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Shiqi Zhang · Weixin Zeng · Ziheng Zhang · Jiuyang Tang · Xiang Zhao
Shiqi Zhang · Weixin Zeng · Ziheng Zhang · Wenzhe Hou · Weidong Xiao · Xiang Zhao
Entity Matching (EM) is a fundamental task in data integration, traditionally studied over structured data such as tables and knowledge graphs. In modern repositories, real-world objects are often represented across multiple modalities, including \emph{structured entities} with symbolic attribute...
Ziheng Zhang · Weixin Zeng · Jiuyang Tang · Xiang Zhao
Entity matching is a fundamental task in a wide range of retrieval and knowledge applications, aiming to identify whether two objects correspond to the same real-world entity across heterogeneous sources. Typical variants include entity resolution (ER), entity linking (EL), and entity alignment (...
Yanli Hu · Teng Liu · Zhuangyi Zhou · Weixin Zeng · Zhen Tan · Xiang Zhao
Feng Liang · Weixin Zeng · Runhao Zhao · Xiang Zhao