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
AUV-Bench is introduced, developed in collaboration with professional UI designers around 1,395 executable web interfaces and four tasks: aesthetic scoring, diagnosis, repair, and text-to-UI generation, which exhibits partial aesthetic competence, but still lack the fine-grained understanding and judgment-action cohere...
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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