3 papers
cs.LG2024
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection
Fei Xiao, Shaofeng Cai, Gang Chen +3
Fraud detection presents a challenging task characterized by ever-evolving fraud patterns and scarce labeled data. Existing methods predominantly rely on graph-based or sequence-ba…
cs.LG2024
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics
Qingpeng Cai, Kaiping Zheng, H. V. Jagadish +2
Cohort studies are of significant importance in the field of healthcare analysis. However, existing methods typically involve manual, labor-intensive, and expert-driven pattern def…
cs.CL2024
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
Farima Fatahi Bayat, Xin Liu, H. V. Jagadish +1
Large language models (LLMs) can generate long-form and coherent text, yet they often hallucinate facts, which undermines their reliability. To mitigate this issue, inference-time…