computational pathology 1data leakage 1multimodal benchmarks 1vision-language models 1whole-slide imaging 1
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cs.CV2026
Auditing Data Leakage in Whole-Slide Image Multimodal Benchmarks
Wenhao Zhang, Zhongliang Zhou, John Kang +1
The paper audits whole-slide image visual question answering benchmarks and reveals extensive patient- and institution-level data leakage, showing that reported high accuracies are…
cs.CV2026
Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models
Mengxuan Hu, Zihan Guan, John Kang +2
Despite their prominent performance on tasks such as ROI classification and segmentation, many pathology foundation models remain constrained by a specific input size e.g. 224 x 22…
cs.CV2024
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation
Zhongliang Zhou, Jielu Zhang, Zihan Guan +5
Geolocating precise locations from images presents a challenging problem in computer vision and information retrieval.Traditional methods typically employ either classification, wh…