arxivcs.CLcs.AI2026-06-29
ARKD: Adaptive Reinforcement Learning-Guided Bidirectional KL Divergence Distillation for Text Generation
Zilong Liu, Xuewen Zhang, Jinrui Xing, Juyi Qiao, Huiyong Wang, Junming Jiao
Knowledge distillation (KD) is a key technique for compressing Large Language Models (LLMs), yet methods relying on a single KL objective often fail to balance primary distribution fitting with long-tail probability modeling, limiting both generation quality and generalization. T…