---
title: "Who cites DistiLLM-2: A Contrastive — 32 citing papers"
description: "32 papers of the Elamur Research library cite «DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ko-2025-distillm-2-contrastive-approach-boosts/cited-by/"
---
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# 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»](https://md.research.elamur.ai/free/en/papers/ko-2025-distillm-2-contrastive-approach-boosts/)

1. **[Fast and Effective On-Policy Distillation from Reasoning Prefixes](https://md.research.elamur.ai/free/en/papers/zhang-2026-fast-effective-policy-distillation-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.*2026 · 12 citations*
2. **[ToDi: Token-wise Distillation via Fine-Grained Divergence Control](https://md.research.elamur.ai/free/en/papers/jung-2025-todi-token-wise-distillation-fine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Models arXiv:2508.06135**Lingyuan Liu, Mengxiang Zhang*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-less-more-selective-reflection-compatible/)
4. **[Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-calibrated-progressive-distillation-co-designing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengxiang Zhang, Lingyuan Liu*2026*
5. **[Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-learning-evolving-training-dynamics-entropy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengxiang Zhang, Lingyuan Liu*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ko-2025-distillm-2-contrastive-approach-boosts/) — DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs