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CAST: Credit Alignment for Cross-Tokenizer On-Policy Distillation

Yang, Jingru et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Cross-tokenizer on-policy distillation (OPD) requires aligning teacher and student sequences before their scores can be compared. Decoded-text alignment provides such correspondence at the chunk level, but leaves a distinct problem unresolved: credit alignment. A chunk-level signal specifies how muc
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