🧑‍🔬 Who cites Navin Goyal

671 citations of their works from 669 papers of our library (of the 141,840 whose bibliographies we read) · 64 with a page here, the most cited first · ← Navin Goyal

1. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,308 citations
2. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
3. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,795 citations
4. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,041 citations
5. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
6. Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,024 citations
7. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
8. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
9. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
10. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
11. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
12. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 685 citations
13. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
14. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
15. A Categorical Archive of ChatGPT FailuresAli Borji2023 · 558 citations
16. Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
17. Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
18. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 399 citations
19. Faithful Chain-of-Thought ReasoningQing Lyu, Shreya Havaldar, Adam Stein, et al.2023 · 345 citations
20. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 335 citations
21. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 315 citations
22. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, et al.2023 · 311 citations
23. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
24. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
25. Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
26. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
27. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
28. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 222 citations
29. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 217 citations
30. Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
31. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningPan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 210 citations
32. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
33. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
34. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 177 citations
35. Generating Sequences by Learning to Self-CorrectSean Welleck, Ximing Lu, Peter West, et al.2022 · 170 citations
36. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionChrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 165 citations
37. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
38. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
39. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
40. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 155 citations
41. REFINER: Reasoning Feedback on Intermediate RepresentationsDebjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 152 citations
42. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
43. ReFT: Reasoning with Reinforced Fine-TuningLuong Trung, Xinbo Zhang, Zhanming Jie, et al.2024 · 131 citations
44. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
45. The Impact of Reasoning Step Length on Large Language ModelsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
46. Neural Networks and the Chomsky HierarchyGrégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 110 citations
47. Orca-Math: Unlocking the potential of SLMs in Grade School MathArindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 109 citations
48. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversQintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 107 citations
49. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
50. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
51. Boosting Language Models Reasoning with Chain-of-Knowledge PromptingJianing Wang, Qiushi Sun, Xiang Li, et al.2024 · 94 citations
52. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsMihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 92 citations
53. CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationZhenyi Shen, Hanqi Yan, Linhai Zhang, et al.2025 · 76 citations
54. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesWenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
55. CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language ModelsCheng Qian, Chi Han, Yi Fung, et al.2023 · 72 citations
56. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsSheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 69 citations
57. Contrastive Decoding Improves Reasoning in Large Language ModelsSean O'Brien, Mike Lewis2023 · 67 citations
58. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAlessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
59. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 51 citations
60. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
61. ArMATH: a Dataset for Solving Arabic Math Word ProblemsReem Alghamdi, Zhenwen Liang, Xiangliang Zhang2022 · 17 citations
62. Targeted Syntactic Evaluation on the Chomsky HierarchyTaiga Someya, Ryo Yoshida, Yohei Oseki2024 · 10 citations
63. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
64. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations

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