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SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation
On-policy distillation (OPD) is a standard tool for transferring teacher behavior to a smaller student, but it implicitly assumes that teacher and student predictions are comparable token by token, an assumption that fails whenever the two models tokenize the same text differently. Under heterogeneo
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