2 papers
cs.CL2026
Beyond "I cannot fulfill this request": Alleviating Rigid Rejection in LLMs via Label Enhancement
Ying Zhang, Congyu Qiao, Xin Geng +1
Large Language Models (LLMs) rely on safety alignment to obey safe requests while refusing harmful ones. However, traditional refusal mechanisms often lead to "rigid rejection," wh…
cs.LG2024
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
Congyu Qiao, Ning Xu, Yihao Hu +1
Instance-dependent Partial Label Learning (ID-PLL) aims to learn a multi-class predictive model given training instances annotated with candidate labels related to features, among…