3 papers
cs.CV2026
Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty
Xiao Song, Haonan Qin, Zhaoxu Zhang +3
Large vision-language models (LVLMs) are increasingly used for clinical image understanding, yet they remain vulnerable to \emph{hallucinations}--producing textual findings or attr…
cs.CV2026
Center-Aware Detection with Swin-based Co-DETR Framework for Cervical Cytology
Yan Kong, Yuan Yin, Hongan Chen +2
Automated analysis of Pap smear images is critical for cervical cancer screening but remains challenging due to dense cell distribution and complex morphology. In this paper, we pr…
cs.CL2026
Controlled Self-Evolution for Algorithmic Code Optimization
Tu Hu, Ronghao Chen, Shuo Zhang +9
Self-evolution methods enhance code generation through iterative "generate-verify-refine" cycles, yet existing approaches suffer from low exploration efficiency, failing to discove…