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Preprint Oct 2026

Self-Distillation for Supervised Fine-Tuning

Supervised fine-tuning treats the expert demonstration or gold response as a one-hot target, suppressing valid alternative continuations that the model would otherwise assign probability to. We propose Gold-Conditioned Distillation (GCD), a method that turns expert demonstrations into model-native supervision. GCD uses...

Wenxuan Zhu, Bang An, Shu-Ming Liu et al. · 0 citations
Preprint Aug 2026

TailSieve: Partial-Rollout-Guided Tail Routing for LLM Rollouts

TailSieve, a partial-rollout-guided framework that jointly controls tail routing and replica allocation for LLM rollouts, and shows that makespan-optimal routing in the long-tail regime combines tail isolation with load balancing, and that a simple top-k policy closely approximates this offline optimum.

Tianqi Xu, Lu Lv, Hao-Yang Huang et al. · 3 citations · ⚡1

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