🧑‍🔬 Who cites Zhenting Qi

276 citations of their works from 269 papers of our library (of the 149,439 whose bibliographies we read) · 61 with a page here, the most cited first · ← Zhenting Qi

1. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
2. Large Language Models Can Be Easily Distracted by Irrelevant ContextarXiv:2302.00093Freda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 534 citations
3. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningarXiv:2305.12295Liangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 374 citations
4. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtarXiv:2210.01240Abulhair Saparov, He He2022 · 244 citations
5. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
6. 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
7. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversConference on Empirical Methods in Natural Language Processing (EMNLP)Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 172 citations
8. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
9. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondIEEE Transactions on Knowledge and Data EngineeringFangzhi Xu, Qika Lin, Jiawei Han, et al.2023 · 142 citations
10. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
11. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
12. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
13. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 93 citations
14. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
15. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesConference on Neural Information Processing Systems (NeurIPS)Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 84 citations
16. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
17. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
18. Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.2024 · 39 citations
19. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.2024 · 27 citations
20. Logical Reasoning over Natural Language as Knowledge Representation: A SurveyarXiv:2303.12023Zonglin Yang, Xinya Du, Rui Mao, et al.2023 · 27 citations
21. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language ModelsarXiv:2310.00836Man Luo, Shrinidhi Kumbhar, Ming shen, et al.2023 · 27 citations
22. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
23. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
24. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
25. RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiwen Zhou, Wenyue Hua, Liangming Pan, et al.2025 · 21 citations
26. 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
27. RECKONING: Reasoning through Dynamic Knowledge EncodingConference on Neural Information Processing Systems (NeurIPS)Zeming Chen, Gail Weiss, Eric Mitchell, et al.2023 · 19 citations
28. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
29. Logical Phase Transitions: Understanding Collapse in LLM Logical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinglang Zhang, Yunyao Zhang, ZeLiang Chen, et al.2026 · 17 citations
30. Skills-in-Context Prompting: Unlocking Compositionality in Large Language ModelsarXiv:2308.00304Jiaao Chen, Xiaoman Pan, Dian Yu, et al.2023 · 17 citations
31. Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Meng Luo, et al.2025 · 16 citations
32. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
33. Semantic-Aware Logical Reasoning via a Semiotic FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yunyao Zhang, Xinglang Zhang, Junxi Sheng, et al.2026 · 13 citations
34. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language ModelsarXiv:2501.14851Michael K. Chen, Xikun Zhang, Dacheng Tao2025 · 10 citations
35. MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.2026 · 9 citations
36. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
37. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
38. Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huifeng Yin, Yu Zhao, Minghao Wu, et al.2025 · 8 citations
39. Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Siheng Xiong, Ali Payani, Yuan Yang, et al.2025 · 7 citations
40. InductionBench: LLMs Fail in the Simplest Complexity ClassAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyue Hua, Tyler Wong, Fei Sun, et al.2025 · 5 citations
41. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
42. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
43. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
44. Multi-LLM Collaborative Search for Complex Problem SolvingFindings of the Association for Computational LinguisticsSen Yang, Yafu Li, Wai Lam, et al.2026 · 3 citations
45. NL2Logic: AST-Guided Translation of Natural Language into First-Order Logic with Large Language ModelsFindings of the Association for Computational LinguisticsRizky Ramadhana Putra, Raihan Sultan Pasha Basuki, Yutong Cheng, et al.2026 · 3 citations
46. SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peidong Wang, Zhiming Ma, Xin Dai, et al.2026 · 3 citations
47. ToolGate: Contract-Grounded and Verified Tool Execution for LLMsFindings of the Association for Computational LinguisticsYanming Liu, Xinyue Peng, Jiannan Cao, et al.2026 · 3 citations
48. Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver CompositionConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Xu, Pierre Beckmann, Marco Valentino, et al.2026 · 2 citations
49. Argument-Based Consistency in Toxicity Explanations of LLMsFindings of the Association for Computational LinguisticsRamaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed, et al.2026 · 2 citations
50. Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
51. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
52. Constructing coherent spatial memory in LLM agents through graph rectificationAnnual Meeting of the Association for Computational Linguistics (ACL)Puzhen Zhang, Xuyang Chen, Yu Feng, et al.2026 · 1 citation
53. GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesInternational Workshop on Semantic Evaluation (SemEval)Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation
54. ReportLogic: Evaluating Logical Quality in Deep Research ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.2026 · 1 citation
55. Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhichen Liu, Yongyuan Li, Yang Xu2026 · 1 citation
56. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026
57. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesWorkshop on Trustworthy NLPSubramanyam Sahoo, Vinija Jain, Aman Chadha, et al.2026
58. Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHieu Man, Ro-ee Tal, Abhishek Kumar, et al.2026
59. Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language ModelsFindings of the Association for Computational LinguisticsMengdie Flora Wang, Haochen Xie, Mun Young Kim, et al.2026
60. SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph ConstructionFindings of the Association for Computational LinguisticsZehua Wang, Zhaojin Zhang, Boyu Qiu, et al.2026
61. Teaching Language Models to Forecast Research Success Through Comparative Idea EvaluationFindings of the Association for Computational LinguisticsSrujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan2026

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