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Who cites Sang Michael Xie

1,239 citations of their works from 1,218 papers of our library (of the 141,840 whose bibliographies we read) · 142 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Sang Michael Xie

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  1. GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,732 citations
  2. Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,005 citations
  3. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
  4. Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,477 citations
  5. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
  6. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
  7. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
  8. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  9. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,229 citations
  10. TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,052 citations
  11. OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,720 citations
  12. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
  13. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
  14. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
  15. DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,426 citations
  16. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,425 citations
  17. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
  18. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,096 citations
  19. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
  20. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
  21. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTJules White, Quchen Fu, Sam Hays, et al.2023 · 902 citations
  22. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesMichael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 876 citations
  23. Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 868 citations
  24. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
  25. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
  26. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
  27. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
  28. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 743 citations
  29. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 740 citations
  30. Learning To Retrieve Prompts for In-Context LearningOhad Rubin, Jonathan Herzig, Jonathan Berant2021 · 717 citations
  31. Capabilities of GPT-4 on Medical Challenge ProblemsHarsha Nori, Nicholas King, Scott Mayer McKinney, et al.2023 · 711 citations
  32. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
  33. Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
  34. Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
  35. CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 649 citations
  36. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
  37. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelShaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 602 citations
  38. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
  39. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 497 citations
  40. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 479 citations
  41. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 476 citations
  42. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 460 citations
  43. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
  44. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsMatthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 432 citations
  45. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 429 citations
  46. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 424 citations
  47. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 422 citations
  48. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
  49. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 399 citations
  50. Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsNing Ding, Yulin Chen, Bokai Xu, et al.2023 · 383 citations
  51. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 381 citations
  52. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 378 citations
  53. Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
  54. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  55. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackBaolin Peng, Michel Galley, Pengcheng He, et al.2023 · 354 citations
  56. Complexity-Based Prompting for Multi-Step ReasoningYao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 343 citations
  57. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 331 citations
  58. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 311 citations
  59. TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
  60. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  61. Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
  62. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 290 citations
  63. Challenges and Strategies in Cross-Cultural NLPDaniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 290 citations
  64. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
  65. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageAndy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 287 citations
  66. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
  67. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 269 citations
  68. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
  69. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  70. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
  71. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
  72. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishIlias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 254 citations
  73. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 253 citations
  74. The Curse of Recursion: Training on Generated Data Makes Models ForgetIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 250 citations
  75. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
  76. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  77. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 237 citations
  78. What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 225 citations
  79. A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 222 citations
  80. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionKai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 220 citations
  81. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  82. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 220 citations
  83. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
  84. Active Example Selection for In-Context LearningYiming Zhang, Shi Feng, Chenhao Tan2022 · 207 citations
  85. Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 195 citations
  86. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  87. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  88. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 182 citations
  89. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 180 citations
  90. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
  91. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  92. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  93. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  94. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningLean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
  95. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  96. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  97. In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
  98. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  99. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  100. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations

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