🔗 Who cites «Language Models are Few-Shot Learners»

10,782 papers of our library cite it (of the 140,884 whose bibliographies we read) · 808 with a page here, the most cited first · page 1 of 9 · 1–100 · ← the paper

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1. GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,694 citations
2. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,278 citations
3. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
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6. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
7. Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 5,770 citations
8. LLaMA: Open and Efficient Foundation Language ModelsHugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 5,609 citations
9. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,375 citations
10. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
11. Training Verifiers to Solve Math Word ProblemsKarl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.2021 · 3,675 citations
12. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
13. Measuring Massive Multitask Language UnderstandingDan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 3,489 citations
14. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden UnitsWei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.2021 · 3,441 citations
15. Qwen3 Technical ReportAn Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
16. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
17. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
18. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,035 citations
19. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
20. Efficient Memory Management for Large Language Model Serving with PagedAttentionWoosuk Kwon, Zhuohan Li, Siyuan Zhuang, et al.2023 · 2,738 citations
21. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 2,603 citations
22. Hierarchical Text-Conditional Image Generation with CLIP LatentsAditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,599 citations
23. Scalable Diffusion Models with TransformersWilliam Peebles, Saining Xie2022 · 2,595 citations
24. Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,529 citations
25. ReAct: Synergizing Reasoning and Acting in Language ModelsShunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,493 citations
26. Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,487 citations
27. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,478 citations
28. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,416 citations
29. Sparks of Artificial General Intelligence: Early experiments with GPT-4Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,389 citations
30. Measuring Mathematical Problem Solving With the MATH DatasetDan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,318 citations
31. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
32. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 2,176 citations
33. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsJunnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,114 citations
34. Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,108 citations
35. TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,047 citations
36. Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,020 citations
37. Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,952 citations
38. An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al.2020 · 1,947 citations
39. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsTaylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,879 citations
40. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionPengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,800 citations
41. Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,740 citations
42. OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,709 citations
43. Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
44. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
45. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
46. Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,545 citations
47. Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,543 citations
48. Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
49. GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
50. DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
51. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,423 citations
52. LAION-5B: An open large-scale dataset for training next generation image-text modelsChristoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,400 citations
53. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingPengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
54. LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,314 citations
55. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,277 citations
56. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
57. What Makes Good In-Context Examples for GPT-3?Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,235 citations
58. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityYao Lu, Max Bartolo, Alastair Moore, et al.2022 · 1,187 citations
59. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyYifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,181 citations
60. Least-to-most prompting enables complex reasoning in large language models2022 · 1,143 citations
61. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
62. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,118 citations
63. Prompt Programming for Large Language Models: Beyond the Few-Shot ParadigmLaria Reynolds, Kyle McDonell2021 · 1,111 citations
64. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsDeyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,105 citations
65. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
66. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,072 citations
67. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,051 citations
68. GPT Understands, TooXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,039 citations
69. P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2022 · 1,013 citations
70. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,006 citations
71. Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 973 citations
72. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 970 citations
73. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
74. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 954 citations
75. Out of One, Many: Using Language Models to Simulate Human SamplesLisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.2022 · 942 citations
76. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsYiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 936 citations
77. Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationDave Van Veen, Cara Van Uden, Louis Blankemeier, et al.2023 · 925 citations
78. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
79. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondJinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
80. MMBench: Is Your Multi-modal Model an All-around Player?Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 907 citations
81. Extracting Training Data from Large Language ModelsNicholas Carlini, Florian Tramer, Eric Wallace, et al.2020 · 901 citations
82. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesMichael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 873 citations
83. Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 865 citations
84. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 818 citations
85. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 818 citations
86. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
87. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 799 citations
88. Calibrate Before Use: Improving Few-Shot Performance of Language ModelsTony Z. Zhao, Eric Wallace, Shi Feng, et al.2021 · 791 citations
89. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
90. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
91. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 775 citations
92. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
93. UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationDaya Guo, Shuai Lu, Nan Duan, et al.2022 · 768 citations
94. Reproducible scaling laws for contrastive language-image learningMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 750 citations
95. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 744 citations
96. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 743 citations
97. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 737 citations
98. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
99. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
100. WizardLM: Empowering large pre-trained language models to follow complex instructionsCan Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 729 citations

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