arxiv
PublishedOctober 21, 2026 at 4:00 AM
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
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arXiv:2504.19024v2 Announce Type: replace Abstract: We propose a novel k-step return estimation method (called KETCHUP) for Reinforcement Learning(RL)-based knowledge distillation (KD) in text generation tasks. Our idea is to induce a K-step return by using the Bellman Optimality Equation for multip
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Originally published on arxiv ↗