Real-world entities are often characterized by heterogeneous structured information, including static attributes, temporal dynamics, and relational dependencies. However, existing benchmarks provide limited understanding of whether multimodal models can effectively exploit complementary information across these modalit...
Kai-Jie Cheng, Nuo-Yue Xu, Xing-Xuan Zhang et al.· AI Plus· 0 citations
This work proposes SafeMol, a parameter-efficient safety alignment framework that jointly optimizes lightweight modules across text-only and graph-conditioned inputs, uses MMD for distribution-level representation alignment to reduce modality-induced discrepancies, and explicitly models molecular hazardousness and harm...
Xin-Miao Wang, Rui-Jie Wang, Meng-Hui Wang et al.· 0 citations
Hierarchical Response Preservation (HiRP) is proposed, a hierarchical response that keeps each historical-class probability and sums new-class probabilities, preserving historical distinctions and aggregate competition while allowing distinctions within the new class group to adapt.
Haopeng Zhang, Yu-Han Wang, Yu-Bing Su et al.· 0 citations
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