🔗 Who cites «Competitive Programming with Large Reasoning Models»

62 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «Competitive Programming with Large Reasoning Models»

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. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
3. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
4. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
5. RARE: Retrieval-Augmented Reasoning Enhancement for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hieu Tran, Zonghai Yao, Zhichao Yang, et al.2025 · 20 citations
6. The Role of Deductive and Inductive Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chengkun Cai, Xu Zhao, Haoliang Liu, et al.2025 · 17 citations
7. 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
8. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
9. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Sun, Xingyu Qian, Weiwen Xu, et al.2025 · 11 citations
10. Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2025 · 11 citations
11. 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
12. 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
13. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
14. Scaling Laws for Code: A More Data-Hungry RegimeAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
15. Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, et al.2026 · 1 citation
16. Market-Bench: Benchmarking Large Language Models on Economic and Trade CompetitionAnnual Meeting of the Association for Computational Linguistics (ACL)Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.2026
17. MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)ZhenChun Xu, Yi Cai, Dajun Zheng, et al.2026
18. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Qin, Liangxin Liu, Yu Liang, et al.2026
19. 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
20. Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Wang, Zhanyang Liu, Taotao Zhou, et al.2026
21. SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Michelle Wastl, Jannis Vamvas, Rico Sennrich2026

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

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