2 papers
cs.CL2026
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
Yao Du, Shanshan Song, Xiaomeng Li
Multimodal large language models (MLLMs) struggle with numerical regression under long-tailed target distributions. Token-level supervised fine-tuning (SFT) and point-wise regressi…
eess.IV2025
Beyond H&E: Unlocking Pathological Insights with Polarization Imaging
Yao Du, Jiaxin Zhuang, Xiaoyu Zheng +5
Histopathology image analysis is fundamental to digital pathology, with hematoxylin and eosin (H&E) staining as the gold standard for diagnostic and prognostic assessments. While H…