🔗 Who cites «ART: Automatic multi-step reasoning and tool-use for large language models»

103 papers of our library cite it (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← back to «ART: Automatic multi-step reasoning and tool-use for large language models»

1. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
2. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
3. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
4. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Pan Lu, Baolin Peng, Hao Cheng, et al.2023 · 327 citations
5. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
6. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
7. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
8. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Minghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 286 citations
9. Language Models can Solve Computer TasksConference on Neural Information Processing Systems (NeurIPS)Geunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 249 citations
10. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingarXiv:2309.17452Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 225 citations
11. Prompt Injection attack against LLM-integrated ApplicationsarXiv:2306.05499Yi Liu; Gelei Deng; Yuekang Li; Kailong Wang; Zihao Wang; Xiaofeng Wang; Tianwei Zhang; Yepang Liu; Haoyu Wang; Yan Zheng; Leo Yu Zhang;, Yang Liu2023 · 208 citations
12. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
13. ToolQA: A Dataset for LLM Question Answering with External ToolsConference on Neural Information Processing Systems (NeurIPS)Yuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 182 citations
14. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
15. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
16. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
17. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
18. Large Language Models as Tool MakersarXiv:2305.17126Tianle Cai, Xuezhi Wang, Tengyu Ma, et al.2023 · 123 citations
19. RestGPT: Connecting Large Language Models with Real-World RESTful APIsarXiv:2306.06624Yifan Song, Weimin Xiong, Dawei Zhu, et al.2023 · 108 citations
20. Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Tomer Wolfson, Ben Bogin, et al.2023 · 99 citations
21. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
22. ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language ModelsarXiv:2305.18323Binfeng Xu, Zhiyuan Peng, Bowen Lei, et al.2023 · 61 citations
23. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
24. Self-Verification Improves Few-Shot Clinical Information ExtractionarXiv:2306.00024 · IMLH 2023Zelalem Gero, Chandan Singh, Hao Cheng, et al.2023 · 51 citations
25. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
26. 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
27. 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
28. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 25 citations
29. StateFlow: Enhancing LLM Task-Solving through State-Driven WorkflowsarXiv:2403.11322Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.2024 · 25 citations
30. Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Emre Can Acikgoz, Jeremiah Greer, Akul Datta, et al.2025 · 13 citations
31. NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Han Han, Tong Zhu, Xiang Zhang, et al.2025 · 7 citations
32. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
33. 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
34. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
35. Dynamic Tool Dependency Retrieval for Lightweight Function CallingFindings of the Association for Computational LinguisticsBhrij Patel, Davide Belli, Amir Jalalirad, et al.2026

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