🔗 Who cites «DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs»

1. Fast and Effective On-Policy Distillation from Reasoning PrefixesFindings of the Association for Computational LinguisticsDongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.2026 · 12 citations
2. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
3. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
4. Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language ModelsFindings of the Association for Computational LinguisticsMengxiang Zhang, Lingyuan Liu2026
5. Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengxiang Zhang, Lingyuan Liu2026

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

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