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Who cites Arun Raja

1,117 citations of their works from 1,112 papers of our library (of the 140,884 whose bibliographies we read) · 143 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Arun Raja

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  1. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,278 citations
  2. Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 5,770 citations
  3. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
  4. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  5. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 2,603 citations
  6. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,478 citations
  7. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
  8. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 2,176 citations
  9. Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,108 citations
  10. OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,709 citations
  11. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
  12. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
  13. 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
  14. Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,545 citations
  15. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,423 citations
  16. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  17. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
  18. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
  19. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,051 citations
  20. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
  21. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 818 citations
  22. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 818 citations
  23. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
  24. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
  25. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
  26. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
  27. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
  28. WizardLM: Empowering large pre-trained language models to follow complex instructionsCan Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 729 citations
  29. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
  30. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
  31. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionAkari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 662 citations
  32. Instruction Tuning with GPT-4Baolin Peng, Chunyuan Li, Pengcheng He, et al.2023 · 651 citations
  33. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
  34. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelShaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 595 citations
  35. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 590 citations
  36. Instruction-Following Evaluation for Large Language ModelsJeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 586 citations
  37. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 560 citations
  38. Precise Zero-Shot Dense Retrieval without Relevance LabelsLuyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 545 citations
  39. Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 527 citations
  40. Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
  41. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
  42. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 496 citations
  43. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
  44. Large language models are few-shot clinical information extractorsMonica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 448 citations
  45. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  46. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 423 citations
  47. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsTianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 405 citations
  48. AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 404 citations
  49. Do Prompt-Based Models Really Understand the Meaning of Their Prompts?Albert Webson, Ellie Pavlick2022 · 396 citations
  50. Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsNing Ding, Yulin Chen, Bokai Xu, et al.2023 · 382 citations
  51. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
  52. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 376 citations
  53. Editing Models with Task ArithmeticGabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 374 citations
  54. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  55. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 356 citations
  56. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateChi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 351 citations
  57. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
  58. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 327 citations
  59. TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 306 citations
  60. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
  61. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  62. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 303 citations
  63. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  64. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
  65. Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataCanwen Xu, Daya Guo, Nan Duan, et al.2023 · 294 citations
  66. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
  67. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
  68. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionYuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 280 citations
  69. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  70. An Explanation of In-context Learning as Implicit Bayesian InferenceSang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 268 citations
  71. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
  72. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  73. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationJiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 242 citations
  74. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  75. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  76. Reframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
  77. Tower: An Open Multilingual Large Language Model for Translation-Related TasksDuarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 226 citations
  78. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 223 citations
  79. How Language Model Hallucinations Can SnowballMuru Zhang, Ofir Press, William Merrill, et al.2023 · 221 citations
  80. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
  81. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  82. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingYu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 206 citations
  83. mGPT: Few-Shot Learners Go MultilingualOleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022 · 203 citations
  84. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  85. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
  86. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  87. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  88. Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 197 citations
  89. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
  90. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
  91. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
  92. Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
  93. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations
  94. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 176 citations
  95. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
  96. ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question AnsweringZhiyu Chen, Shiyang Li, Charese Smiley, et al.2022 · 171 citations
  97. LESS: Selecting Influential Data for Targeted Instruction TuningMengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 170 citations
  98. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  99. Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 167 citations
  100. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations

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