In real-world applications, current multimodal large models are often overestimated in their ability to understand scientific charts. To assess their true capabilities and identify key performance bottlenecks, we conducted an in-depth study on scientific chart understanding. Charts in scientific literature often featur...
Ling-Dong Shen, Qigqi, Kun Ding et al.· IEEE Transactions on Image P...· 0 citations
CoG (Cognition on Graph), a cognitive-inspired, training-free framework for adaptive knowledge exploration, which establishes deep bidirectional synergy between structured graph and unstructured text, where entities extracted from text dynamically guide graph exploration to bridge knowledge gaps.
Gengxian Zhou, Jian Xu, Zichen Tang et al.· 0 citations
This survey bridges the existing gap by presenting a comprehensive blueprint for scientific agents' design and introduces a unified taxonomy based on capability envelope and capability maturity, characterizing both the scope of scientific workflow coverage and the reliability of agent behavior under realistic research...
Xin-Ming Wang, Jian Xu, Sheng Lian et al.· IEEE Transactions on Pattern...· 11 citations
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