4 papers
Shattering the Shortcut: A Topology-Regularized Benchmark for Multi-hop Medical Reasoning in LLMs
Xing Zi, Xinying Zhou, Jinghao Xiao +2
While Large Language Models (LLMs) achieve expert-level performance on standard medical benchmarks through single-hop factual recall, they severely struggle with the complex, multi…
Beyond Pixels: A Training-Free, Text-to-Text Framework for Remote Sensing Image Retrieval
J. Xiao, Y. Guo, X. Zi +3
Semantic retrieval of remote sensing (RS) images is a critical task fundamentally challenged by the \textquote{semantic gap}, the discrepancy between a model's low-level visual fea…
TagGAN: A Generative Model for Data Tagging
Muhammad Nawaz, Basma Nasir, Tehseen Zia +2
Precise identification and localization of disease-specific features at the pixel-level are particularly important for early diagnosis, disease progression monitoring, and effectiv…
Weakly Supervised Pixel-Level Annotation with Visual Interpretability
Basma Nasir, Tehseen Zia, Muhammad Nawaz +1
Medical image annotation is essential for diagnosing diseases, yet manual annotation is time-consuming, costly, and prone to variability among experts. To address these challenges,…