Dense retrievers have made significant progress on text and image corpora, but whether these capabilities extend reliably to mixed corpora containing text, image, and fused text-image documents remains unclear. In this paper, we systematically examine retrievers across architectures and find that their performance is h...
Yu-Bo Sun, Chun-Yi Peng, Yu-Kun Yan et al.· 0 citations
Multimodal foundation models are increasingly used for evaluating and generating user interfaces (UIs), often producing seemingly reasonable aesthetic judgments and visually plausible pages. However, under professional design scrutiny, their behavior can differ substantially from that of human designers. In professiona...
Zhi-Jie Deng, Ling Li, Jun-Hao Ji et al.· 0 citations
ConceptFormer models query-relevant evidence as continuous, query-conditioned latent concepts that explicitly bridge localized visual evidence and semantic relevance, without requiring either textual intermediate representations or direct reliance on raw visual annotations.
Chunyi Peng, Zhi-Peng Xu, Yu-Kun Yan et al.· 0 citations
PAPT++ is introduced, a risk-aware adversarial generation-training framework for SDG that progressively exposes the classifier to challenging yet semantically consistent variations.
Zhi-Peng Xu, De Cheng, Xinyang Jiang et al.· 0 citations
A paired ablation that removes explicit scientific guidance while preserving the repository and executable engineering context shows that scientific knowledge is not uniformly beneficial: well-grounded information can constrain repair and improve average performance and token efficiency, whereas poorly aligned guidance...
Zhi-Peng Xu, Jia-Hao Lu, Yi-Ning Zheng et al.· 4 citations
SAYRE is presented, a scene-aware document synthesis framework for generating scalable KIE training data without hand-crafted template design, and error analysis shows that synthesized training reduces field-level errors by improving schema-aware extraction over dense tables, business identifiers, and contract clauses.
Zhipeng Xu, Zulong Chen, Qing Liu et al.· 0 citations
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