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When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation

96 upvotes · 17 SEP 2026 · Yuxiao Yang, Tianrun Yu, Shangzhe Li et al.

This paper investigates why some AI models can generate excessively long responses and proposes a solution to mitigate this issue by aligning the models' termination tokens. Practitioners might care about this problem because it can lead to wasted generation budgets and inefficient AI applications.

on-policy distillationlength inflationEOS tokenstermination-token mismatchcontinual learning