🔗 Who cites «Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't»

37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't»

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
3. DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing ReasoningarXiv:2504.11456Zhiwei He, Tian Liang, Jiahao Xu, et al.2025 · 78 citations
4. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
5. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
6. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to ReproducibilityarXiv:2504.07086Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, et al.2025 · 36 citations
7. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
8. Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLFindings of the Association for Computational LinguisticsZhewei Yao, Guoheng Sun, Łukasz Borchmann, et al.2026 · 15 citations
9. RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguardsarXiv:2506.07736 · 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025)Jingnan Zheng, Xiangtian Ji, Yijun Lu, et al.2025 · 5 citations
10. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations
11. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
12. Reinforcement Learning for Latent-Space Thinking in LLMsEdition of the Swiss Text Analytics ConferenceEnes Özeren, Matthias Assenmacher2026
13. Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage ReweightingAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Wang, Qin Liu, Wenxuan Zhou, et al.2026
14. TrigReason: Trigger-Based Collaboration between Small and Large Reasoning ModelsFindings of the Association for Computational LinguisticsYi Zhao, Yajuan Peng, Cam-Tu Nguyen, et al.2026

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

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