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Preprint Aug 2026

Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning

Experiments in controlled multi-solution environments and continual post-training settings across multiple model scales demonstrate that CoKL achieves a more favorable balance between target-task improvement and prior-capability retention than existing regularization methods.

Li Wang, Xiao-Dong Lu, Xiao-Han Wang et al. · 0 citations

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