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Who cites Arkil Patel

660 citations of their works from 658 papers of our library (of the 149,439 whose bibliographies we read) · 226 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Arkil Patel

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  1. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingarXiv:2405.12205Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.2024 · 45 citations
  2. Contrastive Chain-of-Thought PromptingarXiv:2311.09277Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.2023 · 45 citations
  3. TinyGSM: achieving >80% on GSM8k with small language modelsarXiv:2312.09241Bingbin Liu, Sebastien Bubeck, Ronen Eldan, et al.2023 · 45 citations
  4. Reasoning with Latent Thoughts: On the Power of Looped TransformersarXiv:2502.17416Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, et al.2025 · 44 citations
  5. Forward-Backward Reasoning in Large Language Models for Mathematical VerificationFindings of the Association for Computational LinguisticsWeisen Jiang, Han Shi, Longhui Yu, et al.2024 · 44 citations
  6. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chengpeng Li, Zheng Yuan, Hongyi Yuan, et al.2024 · 43 citations
  7. Improving Chain-of-Thought Reasoning via Quasi-Symbolic AbstractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Marco Valentino, Andre Freitas2025 · 42 citations
  8. MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard PerturbationsarXiv:2502.06453Kaixuan Huang, Jiacheng Guo, Zihao Li, et al.2025 · 42 citations
  9. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  10. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model CollaborationarXiv:2310.00280Qiushi Sun, Zhangyue Yin, Xiang Li, et al.2023 · 41 citations
  11. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
  12. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
  13. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataFindings of the Association for Computational LinguisticsMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
  14. SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language ModelsConference on Neural Information Processing Systems (NeurIPS)Dan Zhang, Ziniu Hu, Sining Zhoubian, et al.2024 · 37 citations
  15. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuekai Zhu, Biqing Qi, Kaiyan Zhang, et al.2024 · 35 citations
  16. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huiyuan Lai, Malvina Nissim2024 · 34 citations
  17. Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPTarXiv:2304.11116Jiawei Zhang2023 · 34 citations
  18. Reasoning in Large Language Models Through Symbolic Math Word ProblemsFindings of the Association for Computational LinguisticsVedant Gaur, Nikunj Saunshi2023 · 31 citations
  19. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhexuan Wang, Yutong Wang, Xuebo Liu, et al.2025 · 29 citations
  20. JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis ModelsConference on Neural Information Processing Systems (NeurIPS)Kun Zhou, Beichen Zhang, Jiapeng Wang, et al.2024 · 29 citations
  21. LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
  22. Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationarXiv:2311.08152Zhenran Xu, Senbao Shi, Baotian Hu, et al.2023 · 29 citations
  23. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
  24. 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
  25. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  26. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
  27. What Makes Math Word Problems Challenging for LLMs?Findings of the Association for Computational LinguisticsKv Aditya Srivatsa, Ekaterina Kochmar2024 · 26 citations
  28. From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction TuningarXiv:2304.07995Qian Liu, Fan Zhou, Zhengbao Jiang, et al.2023 · 24 citations
  29. 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
  30. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  31. Teaching Small Language Models Reasoning through Counterfactual DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Feng, Yicheng Li, Chenglin Li, et al.2024 · 21 citations
  32. TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jing Xiong, Jianhao Shen, Ye Yuan, et al.2023 · 21 citations
  33. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
  34. GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification ApproacharXiv:2308.09267Lang Cao2023 · 20 citations
  35. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Dayu Yang, Tianyang Liu, Daoan Zhang, et al.2025 · 19 citations
  36. MegaMath: Pushing the Limits of Open Math CorporaarXiv:2504.02807Fan Zhou, Zengzhi Wang, Nikhil Ranjan, et al.2025 · 19 citations
  37. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
  38. MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuningLanguage Resources and Evaluation Conference (LREC)Zhenwen Liang, Dian Yu, Xiaoman Pan, et al.2024 · 19 citations
  39. Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language ModelsLecture notes in computer scienceFeihu Jin, Yifan Liu, Ying Tan2024 · 18 citations
  40. MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Shuo Yin, Weihao You, Zhilong Ji, et al.2024 · 17 citations
  41. ArMATH: a Dataset for Solving Arabic Math Word ProblemsLanguage Resources and Evaluation Conference (LREC)Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang2022 · 17 citations
  42. 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
  43. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
  44. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.2025 · 15 citations
  45. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Shen, Yixin Liu, Yiwei Dai, et al.2025 · 15 citations
  46. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsarXiv:2311.15930Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al.2023 · 15 citations
  47. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
  48. A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jordan Meadows, Marco Valentino, Damien Teney, et al.2024 · 14 citations
  49. Neuro-Symbolic Data Generation for Math ReasoningConference on Neural Information Processing Systems (NeurIPS)Zenan Li, Zhi Zhou, Yuan Yao, et al.2024 · 14 citations
  50. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
  51. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
  52. QCRD: Quality-guided Contrastive Rationale Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Wang, Zhaowei Li, Qi Xu, et al.2025 · 13 citations
  53. 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
  54. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
  55. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Song Wang, Zhen Tan, Zihan Chen, et al.2025 · 10 citations
  56. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
  57. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  58. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
  59. Design of Chain-of-Thought in Math Problem SolvingarXiv:2309.11054Zhanming Jie, Trung Quoc Luong, Xinbo Zhang, et al.2023 · 10 citations
  60. Expression Syntax Information Bottleneck for Math Word ProblemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jing Xiong, Chengming Li, Min Yang, et al.2023 · 10 citations
  61. Guiding Reasoning in Small Language Models with LLM AssistancearXiv:2504.09923Yujin Kim, Euiin Yi, Minu Kim, et al.2025 · 9 citations
  62. Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Mohna Chakraborty, Lu Wang, David Jurgens2025 · 9 citations
  63. Theorem Prover as a Judge for Synthetic Data GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Ong Jun Leang, Giwon Hong, Wenda Li, et al.2025 · 9 citations
  64. 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
  65. Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer ModelsarXiv:2501.02599Jalisha Jashim Era, Bidyarthi Paul, Tahmid Sattar Aothoi, et al.2025 · 8 citations
  66. Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-TuningInternational Conference on Computational Linguistics (COLING)Jing Bi, Yuting Wu, Weiwei Xing, et al.2025 · 8 citations
  67. Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Joykirat Singh, Akshay Nambi, Vibhav Vineet2025 · 8 citations
  68. Nudging: Inference-time Alignment of LLMs via Guided DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yasaman Razeghi, Sameer Singh2025 · 8 citations
  69. Superficial Self-Improved Reasoners Benefit from Model MergingConference on Empirical Methods in Natural Language Processing (EMNLP)Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, et al.2025 · 8 citations
  70. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
  71. SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language ModelsarXiv:2408.15565Dian Yu, Baolin Peng, Ye Tian, et al.2024 · 8 citations
  72. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  73. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on MathematicsarXiv:2502.14333Ting-Ruen Wei, Haowei Liu, Xuyang Wu, et al.2025 · 7 citations
  74. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
  75. Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided DiscoveryarXiv:2502.15224Tingting Chen, Beibei Lin, Srinivas Anumasa, et al.2025 · 6 citations
  76. Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical RangesarXiv:2502.08680Safal Shrestha, Minwu Kim, Keith Ross2025 · 6 citations
  77. 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
  78. Give me a hint: Can LLMs take a hint to solve math problems?arXiv:2410.05915Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, et al.2024 · 6 citations
  79. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
  80. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, et al.2025 · 5 citations
  81. Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
  82. What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTarXiv:2509.19284Yunzhen Feng, Julia Kempe, Cheng Zhang, et al.2025 · 4 citations
  83. 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
  84. 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
  85. LLM-Powered Benchmark Factory: Reliable, Generic, and EfficientAnnual Meeting of the Association for Computational Linguistics (ACL)Peiwen Yuan, Shaoxiong Feng, Yiwei Li, et al.2026 · 3 citations
  86. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
  87. Multi-LLM Collaborative Search for Complex Problem SolvingFindings of the Association for Computational LinguisticsSen Yang, Yafu Li, Wai Lam, et al.2026 · 3 citations
  88. TabularMath: Understanding Math Reasoning over Tables with Large Language ModelsFindings of the Association for Computational LinguisticsShi-Yu Tian, Zhi Zhou, Wei Dong, et al.2026 · 3 citations
  89. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Bozhen Fang, et al.2026 · 2 citations
  90. 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
  91. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
  92. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationFindings of the Association for Computational LinguisticsHao Yang, Qinghua Zhao, Lei Li, et al.2026 · 1 citation
  93. 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
  94. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Jingyuan Wang, Yankai Chen, Zhonghang Li, et al.2026 · 1 citation
  95. 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
  96. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Shiyu Li, Peiming Li, et al.2026 · 1 citation
  97. 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
  98. Language Specific Knowledge: Do Models Know Better in X than in English?arXiv:2505.14990Ishika Agarwal, Nimet Beyza Bozdag, Dilek Hakkani-Tur2025 · 1 citation
  99. Advancing Reasoning in Diffusion Language Models with Denoising Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoan Xie, Lingjing Kong, Xiangchen Song, et al.2026
  100. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026

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