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
A unified comparison of attribute-based ZSL, episodic meta-learning, metric and prototype estimators, graph and optimal-transport inference, generative any-shot models, and adaptation of vision–language models is analyzed.
Jie Li, Yu-Bo Sun, Xun Du et al.· Mathematics· 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
HiEviDR-Bench is introduced, a benchmark for evaluating Hierarchical Evidence Aggregation in Deep Research and a traceability-oriented evaluation framework with five dimensions: report quality, evidence traceability, citation accuracy, claim verification, and answer correctness, together with a progressive gating mecha...
Yu-Bo Sun, Chunyi Peng, Yu-Kun Yan et al.· arXiv.org· 0 citations
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