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MetaOPD: Meta-Learned Token Weighting for On-Policy Distillation
On-policy distillation (OPD) trains a student on its own generated responses using token-level teacher supervision. However, uniform weighting overlooks differences in token learning value, while existing weighting methods rely on predefined mappings from prediction signals to token weights. These m
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