🔗 Who cites «Teaching Small Language Models Reasoning through Counterfactual Distillation»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Teaching Small Language Models Reasoning through Counterfactual Distillation»

1. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
2. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
3. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
4. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
5. 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
6. Through the Valley: Path to Effective Long CoT Training for Small Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Luo, Jiaxi Li, Chen Huang, et al.2025 · 7 citations

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

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