3 papers
cs.IR2026
Cassette: Case-to-Case Structural Distillation for Efficient Legal Case Retrieval
Yanran Tang, Ruihong Qiu, Hongzhi Yin +2
Legal case retrieval (LCR) is an essential tool for not only assisting legal practitioners to efficiently retrieve precedents but also enabling ordinary individuals to find valuabl…
cs.DB2026
Taxonomy Maintenance In The Wild Over Evolving Scholarly Data: Reliability, Efficiency, and Cost-Effectiveness
Daomin Ji, Hui Luo, Zhifeng Bao +2
The rapid growth of scientific publications makes scholarly taxonomies quickly obsolete. We study taxonomy maintenance in the wild, a new problem that moves beyond static construct…
cs.LG2024
Effective and Robust Adversarial Training against Data and Label Corruptions
Peng-Fei Zhang, Zi Huang, Xin-Shun Xu +1
Corruptions due to data perturbations and label noise are prevalent in the datasets from unreliable sources, which poses significant threats to model training. Despite existing eff…