2 papers
cs.CL2026
When Evidence Conflicts: Reliability-aware Meta-review Generation
Xinzhe Wang, Fei Tao, Jiang Xie +2
Generating coherent meta-reviews from multiple peer reviews is challenging when reviewer evidence conflicts and varies in reliability. Existing approaches typically formulate meta-…
cs.LG2026
Mastering the Minority: An Uncertainty-guided Multi-Expert Framework for Challenging-tailed Sequence Learning
Ye Wang, Zixuan Wu, Lifeng Shen +4
Imbalanced data distribution remains a critical challenge in sequential learning, leading models to easily recognize frequent categories while failing to detect minority classes ad…