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Who cites Dieuwke Hupkes

1,465 citations of their works from 1,427 papers of our library (of the 140,884 whose bibliographies we read) · 148 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Dieuwke Hupkes

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  1. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
  2. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
  3. Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,951 citations
  4. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  5. Sparks of Artificial General Intelligence: Early experiments with GPT-4Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,389 citations
  6. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
  7. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 2,176 citations
  8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
  9. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
  10. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  11. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
  12. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
  13. MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
  14. PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 971 citations
  15. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
  16. Constitutional AI: Harmlessness from AI FeedbackYuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 957 citations
  17. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 954 citations
  18. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
  19. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 866 citations
  20. ChatGPT: Jack of all trades, master of noneJan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 863 citations
  21. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 818 citations
  22. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
  23. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
  24. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 775 citations
  25. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
  26. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
  27. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
  28. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsTeam GLM, Aohan Zeng, Bin Xu, et al.2024 · 687 citations
  29. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
  30. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
  31. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 617 citations
  32. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
  33. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 590 citations
  34. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
  35. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
  36. Improving Factuality and Reasoning in Language Models through Multiagent DebateYilun Du, Shuang Li, Antonio Torralba, et al.2023 · 564 citations
  37. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 560 citations
  38. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
  39. Probing Classifiers: Promises, Shortcomings, and AdvancesYonatan Belinkov2022 · 513 citations
  40. Baichuan 2: Open Large-scale Language ModelsAiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 512 citations
  41. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
  42. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  43. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 427 citations
  44. AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 404 citations
  45. True Few-Shot Learning with Language ModelsEthan Perez, Douwe Kiela, Kyunghyun Cho2021 · 403 citations
  46. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  47. Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 390 citations
  48. Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 388 citations
  49. CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 384 citations
  50. A Survey on Model Compression for Large Language ModelsXunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 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 · 379 citations
  52. Open Sesame: Getting inside BERT's Linguistic KnowledgeYongjie Lin, Yi Chern Tan, Robert Frank2019 · 379 citations
  53. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 370 citations
  54. Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 362 citations
  55. Orca: Progressive Learning from Complex Explanation Traces of GPT-4Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 357 citations
  56. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 356 citations
  57. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 351 citations
  58. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 350 citations
  59. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
  60. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  61. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
  62. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationAlisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 312 citations
  63. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
  64. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  65. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
  66. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  67. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleKoustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
  68. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
  69. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  70. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
  71. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
  72. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  73. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
  74. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  75. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  76. 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
  77. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  78. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
  79. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  80. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  81. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  82. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  83. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  84. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
  85. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  86. 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
  87. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  88. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  89. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  90. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  91. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  92. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
  93. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  94. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  95. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  96. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 176 citations
  97. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
  98. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  99. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  100. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations

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