🧑‍🔬 Who cites Xiang Ji

42 citations of their works from 42 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Xiang Ji

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. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
3. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
4. Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dadi Guo, Jiayu Liu, Zhiyuan Fan, et al.2026 · 5 citations
5. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
6. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem SolvingFindings of the Association for Computational LinguisticsXiyuan Zhou, Xinlei Wang, Yirui He, et al.2026 · 3 citations
7. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
8. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
9. Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem SolvingarXiv:2512.10739Yuzhe Gu, Songyang Gao, Zijian Wu, et al.2025 · 1 citation
10. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
11. DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zhang, Jiawei Zhang, Cong Gao, et al.2026
12. From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsShaojie Wang, Liang Zhang2026
13. ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuancheng Yang, Lin Yang, Xu Wang, et al.2026
14. MAXS: Meta-Adaptive Exploration with LLM AgentsFindings of the Association for Computational LinguisticsJian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.2026
15. 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
16. Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Adam Štorek, Mukur Gupta, Samira Hajizadeh, et al.2026

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