An Intelligent Construction Method for Petrochemical Datasets Based on RLHF and Data De-Identification
To mitigate high expert-annotation costs, domain-preference misalignment, and the inherent trade-off between sensitive-data protection and training utility in petrochemical dataset construction, an iterative framework combining human-feedback-aligned reinforcement learning (RLHF) with post hoc data de-identification is...
Yimin Liu, Qike Ji, Shengbo Lu et al.
· Mathematics · 0 citations