Elamur Research⌕
☰
home / authors / Sharan Narang / cited by

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 1 of 9 · 1–100 · ← Sharan Narang

1 2 … 9

  1. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsZe Liu, Yutong Lin, Yue Cao, et al.2021 · 33,826 citations
  2. Transformers: State-of-the-Art Natural Language ProcessingThomas Wolf, Lysandre Debut, Victor Sanh, et al.2020 · 15,591 citations
  3. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionMike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,752 citations
  4. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,278 citations
  5. Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 10,782 citations
  6. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerColin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 7,433 citations
  8. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.2023 · 7,429 citations
  9. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
  10. LLaMA: Open and Efficient Foundation Language ModelsHugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 5,609 citations
  11. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,375 citations
  12. Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020 · 5,370 citations
  13. mixup: Beyond Empirical Risk MinimizationHongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,803 citations
  14. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
  15. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
  16. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
  17. Measuring Massive Multitask Language UnderstandingDan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 3,489 citations
  18. Qwen3 Technical ReportAn Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
  19. 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
  20. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
  21. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,035 citations
  22. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,954 citations
  23. Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,951 citations
  24. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  25. Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingYu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon2020 · 2,636 citations
  26. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 2,603 citations
  27. Lost in the Middle: How Language Models Use Long ContextsNelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,540 citations
  28. Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,529 citations
  29. Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,497 citations
  30. ReAct: Synergizing Reasoning and Acting in Language ModelsShunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,493 citations
  31. Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,487 citations
  32. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,478 citations
  33. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,416 citations
  34. Measuring Mathematical Problem Solving With the MATH DatasetDan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,318 citations
  35. A Survey on Large Language Model based Autonomous AgentsLei Wang, Chen Ma, Xueyang Feng, et al.2023 · 2,263 citations
  36. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
  37. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 2,176 citations
  38. Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,108 citations
  39. TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,047 citations
  40. Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,020 citations
  41. Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,952 citations
  42. Scaling Laws for Neural Language ModelsJared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 1,814 citations
  43. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationJingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,806 citations
  44. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionPengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,800 citations
  45. Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceTimo Schick, Hinrich Schütze2021 · 1,796 citations
  46. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTOmar Khattab, Matei Zaharia2020 · 1,776 citations
  47. Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,740 citations
  48. Longformer: The Long-Document TransformerIz Beltagy, Matthew E. Peters, Arman Cohan2020 · 1,737 citations
  49. OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,709 citations
  50. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
  51. Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
  52. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
  53. Layer NormalizationJimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,587 citations
  54. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,577 citations
  55. mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerLinting Xue, Noah Constant, Adam Roberts, et al.2021 · 1,574 citations
  56. 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
  57. Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,545 citations
  58. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionChao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,528 citations
  59. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
  60. Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
  61. GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
  62. DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
  63. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,423 citations
  64. Language-agnostic BERT Sentence EmbeddingFangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,412 citations
  65. Code Llama: Open Foundation Models for CodeBaptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,399 citations
  66. Let's Verify Step by StepHunter Lightman, Vineet Kosaraju, Yura Burda, et al.2023 · 1,359 citations
  67. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingPengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
  68. LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,314 citations
  69. AraBERT: Transformer-based Model for Arabic Language UnderstandingWissam Antoun, Fady Baly, Hazem Hajj2020 · 1,297 citations
  70. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  71. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,277 citations
  72. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
  73. CamemBERT: a Tasty French Language ModelLouis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.2019 · 1,262 citations
  74. What Makes Good In-Context Examples for GPT-3?Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,235 citations
  75. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
  76. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityYao Lu, Max Bartolo, Alastair Moore, et al.2022 · 1,187 citations
  77. Least-to-most prompting enables complex reasoning in large language models2022 · 1,143 citations
  78. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
  79. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,118 citations
  80. Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 1,110 citations
  81. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsDeyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,105 citations
  82. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
  83. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,072 citations
  84. RoFormer: Enhanced Transformer with Rotary Position EmbeddingJianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 1,072 citations
  85. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,051 citations
  86. GPT Understands, TooXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,039 citations
  87. MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
  88. P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2022 · 1,013 citations
  89. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.2023 · 1,012 citations
  90. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,006 citations
  91. Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
  92. Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 973 citations
  93. PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 971 citations
  94. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
  95. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
  96. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 954 citations
  97. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
  98. MPNet: Masked and Permuted Pre-training for Language UnderstandingKaitao Song, Xu Tan, Tao Qin, et al.2020 · 944 citations
  99. Out of One, Many: Using Language Models to Simulate Human SamplesLisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.2022 · 942 citations
  100. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations

1 2 … 9

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sharan-narang/cited-by/