HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation explores A novel reinforcement learning technique for large language models that improves mathematical reasoning by distilling privileged information on failure cases.. Commercial viability score: 4/10 in LLM Training.
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