A new training method called RLSD from JD.com and academic researchers aims to solve a common enterprise bottleneck: reasoning models are expensive to train and often get only sparse feedback. RLSD keeps reinforcement learning’s reliable direction while using self-distillation only for credit assignment, avoiding “privileged information leakage.” In tests, it beat baseline GRPO and standard OPSD with faster convergence.
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