Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking
超越Logit调整:一种用于长尾重排的残差分解框架
机构 * University of Pennsylvania(宾夕法尼亚大学) ; Children’s Hospital of Philadelphia(费城儿童医院)
AI总结 本文提出残差分解框架,用于解决长尾分类中频繁类与稀有类的排序问题,通过分析残差分解的类内和类间组件,提出REPAIR方法以提升重排性能。
Comments Accepted into COLM 2026
Journal ref CONFERENCE ON LANGUAGE MODELING CONFERENCE ON LANGUAGE MODELING Third Conference on Language Modeling (COLM 2026)