Multimodal benchmarks are central to evaluating whether models can reason over information from multiple modalities. However, existing literature has revealed that some benchmarks may contain shortcut items that can be answered from a single modality or from answer-option regularities alone, thus failing to reflect mod...
Shi-Qi Zhang, Weixin Zeng, Zi-Heng Zhang et al.· 0 citations
Large language models (LLMs) have demonstrated strong capabilities on complex reasoning tasks. Existing studies mainly enhance the complex reasoning ability of LLMs through chain-of-thought reasoning, tool augmentation, experience knowledge reuse, and multi-agent collaboration. However, existing methods still suffer fr...
Wen-Jing Fan, Ming Zhou, Jia-Xing He et al.· 2026 12th International Conf...· 0 citations
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 (EA). While recent unifi...
Ziheng Zhang, Weixin Zeng, Jiuyang Tang et al.· Annual International ACM SIG...· 0 citations
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