5 papers
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
Zhuoyue Wan, Wentao Hu, Chen Jason Zhang +5
Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this…
HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
Xincheng Yao, Yijun Yang, Kangwei Guo +5
The segmentation of the hepatic vasculature in surgical videos holds substantial clinical significance in the context of hepatectomy procedures. However, owing to the dearth of an…
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
Ruiqiang Xiao, Songning Lai, Yijun Yang +3
Adapting machine learning models to new domains without labeled data, especially when source data is inaccessible, is a critical challenge in applications like medical imaging, aut…
Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains
Jiemin Wu, Songning Lai, Ruiqiang Xiao +3
Large Language Models (LLMs) are powerful tools for text generation, translation, and summarization, but they often suffer from hallucinations-instances where they fail to maintain…
IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based Loss
Ruiqiang Xiao, Xiaohu Chen
Crack segmentation is crucial in civil engineering, particularly for assessing pavement integrity and ensuring the durability of infrastructure. While deep learning has advanced RG…