🧑‍🔬 Who cites Tom Brown

693 citations of their works from 677 papers of our library (of the 140,884 whose bibliographies we read) · 77 with a page here, the most cited first · ← Tom Brown

1. GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,694 citations
2. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
3. Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 5,770 citations
4. 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
5. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
6. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
7. Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,529 citations
8. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
9. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
10. Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,543 citations
11. LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,314 citations
12. 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
13. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
14. PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 971 citations
15. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
16. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
17. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 689 citations
18. Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 665 citations
19. Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
20. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
21. Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 604 citations
22. Galactica: A Large Language Model for ScienceRoss Taylor, Marcin Kardas, Guillem Cucurull, et al.2022 · 558 citations
23. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
24. Large Language Models: A SurveyShervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 467 citations
25. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 456 citations
26. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
27. Security and Privacy Challenges of Large Language Models: A SurveyBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
28. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 421 citations
29. Large Language Models Cannot Self-Correct Reasoning YetJie Huang, Xinyun Chen, Swaroop Mishra, et al.2023 · 396 citations
30. Representation Engineering: A Top-Down Approach to AI TransparencyAndy Zou, Long Phan, Sarah Chen, et al.2023 · 386 citations
31. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 376 citations
32. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
33. Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 352 citations
34. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsXinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 320 citations
35. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
36. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 304 citations
37. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
38. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
39. Societal Biases in Language Generation: Progress and ChallengesEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 252 citations
40. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
41. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
42. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
43. Ignore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian Ribeiro2022 · 244 citations
44. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
45. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetLianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 235 citations
46. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
47. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
48. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
49. Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 206 citations
50. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
51. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
52. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
53. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
54. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
55. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
56. Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
57. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsJian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 165 citations
58. Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
59. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
60. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
61. RAFT: Adapting Language Model to Domain Specific RAGTianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 135 citations
62. TOFU: A Task of Fictitious Unlearning for LLMsPratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 133 citations
63. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
64. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsJoel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 126 citations
65. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
66. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningRuiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 119 citations
67. Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
68. Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesShuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 100 citations
69. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
70. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
71. Understanding Transformer Memorization Recall Through IdiomsAdi Haviv, Ido Cohen, Jacob Gidron, et al.2023 · 62 citations
72. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
73. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
74. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
75. EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMsAli Satvaty, Suzan Verberne, Fatih Turkmen2026
76. Investigating Memorization in Language Models Trained via Knowledge DistillationMaarten Mäcking, Michaela Regneri2026
77. Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM OutputJoris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.2026

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