🔗 Who cites «DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning»

47 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← back to «DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning»

1. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
2. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityConference on Neural Information Processing Systems (NeurIPS)Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, et al.2025 · 104 citations
3. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
4. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
5. REARANK: Reasoning Re-ranking Agent via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Le Zhang, Bo Wang, Xipeng Qiu, et al.2025 · 12 citations
6. Guiding Reasoning in Small Language Models with LLM AssistancearXiv:2504.09923Yujin Kim, Euiin Yi, Minu Kim, et al.2025 · 9 citations
7. Thinking Out Loud: Do Reasoning Models Know When They're Right?Conference on Empirical Methods in Natural Language Processing (EMNLP)Qingcheng Zeng, Weihao Xuan, Leyang Cui, et al.2025 · 9 citations
8. Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode TheoryConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Li, Nan Zhang, Chenrui Fan, et al.2025 · 6 citations
9. What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTarXiv:2509.19284Yunzhen Feng, Julia Kempe, Cheng Zhang, et al.2025 · 4 citations
10. Controllable LLM Reasoning via Sparse Autoencoder-Based SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Fang, Wenjie Wang, Mingfeng Xue, et al.2026 · 3 citations
11. Coordinates from Context: Using LLMs to Ground Complex Location ReferencesConference of the European Chapter of the Association for Computational Linguistics (EACL)Tessa Masis, Brendan O'Connor2026 · 1 citation
12. Inferring Events from Time Series using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingtian Tan, Mike A Merrill, Zachary Gottesman, et al.2026 · 1 citation
13. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
14. Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning ModelsFindings of the Association for Computational LinguisticsMichael R. Metel, Yufei Cui, Boxing Chen, et al.2026 · 1 citation
15. Language Specific Knowledge: Do Models Know Better in X than in English?arXiv:2505.14990Ishika Agarwal, Nimet Beyza Bozdag, Dilek Hakkani-Tur2025 · 1 citation
16. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
17. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026

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