🔗 Who cites «DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning»

77 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← back to «DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning»

1. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
2. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
3. CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations
4. The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical ProofsarXiv:2506.21621Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.2025 · 11 citations
5. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
6. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
7. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
8. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.2026 · 5 citations
9. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMsarXiv:2506.14731Ling Team, Bin Hu, Cai Chen, et al.2025 · 5 citations
10. SCALER: Synthetic Scalable Adaptive Learning Environment for ReasoningFindings of the Association for Computational LinguisticsCaijun Xu, Changyi Xiao, Zhongyuan Peng, et al.2026 · 2 citations
11. Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Chuang Zhang, Zizhen Zhu, Yihao Wei, et al.2026 · 1 citation
12. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
13. AdaMix: Adaptive Mixing for Short and Long Reasoning AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Luo, Xiao Yan, Xinyan Li, et al.2026
14. CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question AnsweringFindings of the Association for Computational LinguisticsTong Lu, Zhichun Wang, Yuanhao Sun, et al.2026
15. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
16. ETR: Entropy Trend Reward for Efficient Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan Xiong, Huan Liu, Li Gu, et al.2026
17. Multilingual Chain-of-Thought Compression via Cross-Lingual DistillationWorkshop on Multilinguality in the Era of Large Language ModelsJiarui Wan, Songming Zhang, Yufeng Chen2026
18. Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhikun Xu, Xiaodong Yu, Ben Zhou, et al.2026
19. Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare DictatorFindings of the Association for Computational LinguisticsZhengliang Shi, Ruotian Ma, Jen-tse Huang, et al.2026

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