🔗 Who cites «On-Policy Context Distillation for Language Models»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «On-Policy Context Distillation for Language Models»

1. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and RecipearXiv:2604.13016Yaxuan Li, Yuxin Zuo, Bingxiang He, et al.2026 · 58 citations
2. A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
3. Self-Distilled RLVRarXiv:2604.03128Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.2026 · 37 citations
4. Revisiting On-Policy Distillation: Empirical Failure Modes and Simple FixesarXiv:2603.25562Yuqian Fu, Haohuan Huang, Kaiwen Jiang, et al.2026 · 31 citations
5. Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and WhyarXiv:2605.10889Mohammadreza Armandpour, Fatih Ilhan, David Harrison, et al.2026 · 7 citations
6. Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective RecipearXiv:2605.03677Wenjin Hou, Shangpin Peng, Weinong Wang, et al.2026 · 6 citations
7. Self-Distilled Policy GradientarXiv:2606.04036Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.2026 · 5 citations

29 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/ye-2026-policy-context-distillation-language-models/cited-by/