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20222026
most citedA Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

35 citations · 56 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Does On-Policy Distillation for Safety Pose Backdoor Risks?

Jian Luo, Kehan Qi, Qingqiao Hu +5

On-policy distillation (OPD) has attracted growing attention as an effective way to transfer capabilities from teacher models to student models. Recent studies further explore OPD…

cs.CL2026

Backdoor Learning in Language Models and Vision-Language Models

Weimin Lyu

Recent advances in deep learning have significantly enhanced the capabilities of Natural Language Processing (NLP) and Vision-Language Models (VLMs). However, these advancements co…

cs.CL2026

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data

Sophie Kearney, Shu Yang, Zixuan Wen +8

Accurate diagnosis of Alzheimer's disease (AD) requires handling tabular biomarker data, yet such data are often small and incomplete, where deep learning models frequently fail to…

cs.CV2026

Topo-R1: Detecting Topological Anomalies via Vision-Language Models

Meilong Xu, Qingqiao Hu, Xiaoling Hu +6

Topology is critical in tubular structures such as blood vessels, nerve fibers, and road networks, where connectivity and loop structure govern downstream functional analysis. Visi…

cs.CV2026★ 1 cited

Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning

Wentao Huang, Weimin Lyu, Peiliang Lou +8

Computational pathology has advanced rapidly in recent years, driven by domain-specific image encoders and growing interest in using vision-language models to answer natural-langua…