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Who cites Sharan Narang

13,067 citations of their works from 11,493 papers of our library (of the 140,884 whose bibliographies we read) · 895 with a page here, the most cited first · page 2 of 9 · 101–200 · ← Sharan Narang

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  1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesGheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 906 citations
  2. Extracting Training Data from Large Language ModelsNicholas Carlini, Florian Tramer, Eric Wallace, et al.2020 · 901 citations
  3. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesMichael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 873 citations
  4. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 866 citations
  5. Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 865 citations
  6. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 843 citations
  7. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 818 citations
  8. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 818 citations
  9. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
  10. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
  11. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 799 citations
  12. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
  13. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 776 citations
  14. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 775 citations
  15. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
  16. Reproducible scaling laws for contrastive language-image learningMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 750 citations
  17. AdapterHub: A Framework for Adapting TransformersJonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 747 citations
  18. 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
  19. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 743 citations
  20. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 737 citations
  21. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
  22. IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 730 citations
  23. WizardLM: Empowering large pre-trained language models to follow complex instructionsCan Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 729 citations
  24. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsPhilippe Tillet, H. T. Kung, David Cox2019 · 728 citations
  25. Learning To Retrieve Prompts for In-Context LearningOhad Rubin, Jonathan Herzig, Jonathan Berant2021 · 717 citations
  26. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
  27. Capabilities of GPT-4 on Medical Challenge ProblemsHarsha Nori, Nicholas King, Scott Mayer McKinney, et al.2023 · 700 citations
  28. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
  29. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 689 citations
  30. Automatic Chain of Thought Prompting in Large Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2022 · 688 citations
  31. 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
  32. CORD-19: The COVID-19 Open Research DatasetLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.2020 · 685 citations
  33. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 684 citations
  34. DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationYizhe Zhang, Siqi Sun, Michel Galley, et al.2019 · 684 citations
  35. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
  36. KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 663 citations
  37. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citations
  38. CCNet: Extracting High Quality Monolingual Datasets from Web Crawl DataGuillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.2020 · 650 citations
  39. CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 646 citations
  40. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
  41. DAPO: An Open-Source LLM Reinforcement Learning System at ScaleQiying Yu, Zheng Zhang, Ruofei Zhu, et al.2025 · 634 citations
  42. LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingYang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 623 citations
  43. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkSirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 615 citations
  44. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
  45. Role-Play with Large Language ModelsMurray Shanahan, Kyle McDonell, Laria Reynolds2023 · 606 citations
  46. Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 604 citations
  47. 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
  48. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingLiang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
  49. FNet: Mixing Tokens with Fourier TransformsJames Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.2022 · 593 citations
  50. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 590 citations
  51. Instruction-Following Evaluation for Large Language ModelsJeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 586 citations
  52. Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 582 citations
  53. AudioLM: a Language Modeling Approach to Audio GenerationZalan Borsos, Raphael Marinier, Damien Vincent, et al.2022 · 570 citations
  54. Improving Factuality and Reasoning in Language Models through Multiagent DebateYilun Du, Shuang Li, Antonio Torralba, et al.2023 · 564 citations
  55. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 560 citations
  56. Galactica: A Large Language Model for ScienceRoss Taylor, Marcin Kardas, Guillem Cucurull, et al.2022 · 558 citations
  57. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsLonghui Yu, Weisen Jiang, Han Shi, et al.2023 · 556 citations
  58. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesNaveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 555 citations
  59. Precise Zero-Shot Dense Retrieval without Relevance LabelsLuyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 545 citations
  60. Document Ranking with a Pretrained Sequence-to-Sequence ModelRodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.2020 · 538 citations
  61. Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningArmen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021 · 530 citations
  62. Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 527 citations
  63. Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
  64. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
  65. Baichuan 2: Open Large-scale Language ModelsAiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 512 citations
  66. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
  67. Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 505 citations
  68. Towards Expert-Level Medical Question Answering with Large Language ModelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.2023 · 503 citations
  69. Deep Learning Scaling is Predictable, EmpiricallyJoel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 497 citations
  70. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 496 citations
  71. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 490 citations
  72. Language Models are Multilingual Chain-of-Thought ReasonersFreda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 490 citations
  73. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsPeiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 482 citations
  74. REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 482 citations
  75. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  76. Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 477 citations
  77. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureEric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 474 citations
  78. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 474 citations
  79. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
  80. Data Augmentation using Pre-trained Transformer ModelsVarun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 468 citations
  81. PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citations
  82. P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2021 · 464 citations
  83. Masked Autoencoders Are Scalable Vision LearnersKaiming He, Xinlei Chen, Saining Xie, et al.2021 · 463 citations
  84. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 462 citations
  85. Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationDawei Gao, Haibin Wang, Yaliang Li, et al.2023 · 461 citations
  86. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionZirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 459 citations
  87. LinkBERT: Pretraining Language Models with Document LinksMichihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 452 citations
  88. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
  89. ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 451 citations
  90. Show your work: Scratchpads for intermediate computation with language models2021 · 448 citations
  91. LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang2023 · 447 citations
  92. Quality at a Glance: An Audit of Web-Crawled Multilingual DatasetsJulia Kreutzer, Isaac Caswell, Lisa Wang, et al.2021 · 447 citations
  93. How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsPhillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 444 citations
  94. Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 443 citations
  95. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingChen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 443 citations
  96. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
  97. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkKunchang Li, Yali Wang, Yinan He, et al.2023 · 441 citations
  98. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
  99. GPT-NER: Named Entity Recognition via Large Language ModelsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
  100. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations

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