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Who cites Canwen Xu

9,197 citations of their works from 8,596 papers of our library (of the 141,840 whose bibliographies we read) · 776 with a page here, the most cited first · page 1 of 8 · 1–100 · ← Canwen Xu

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  1. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,308 citations
  2. Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,005 citations
  3. LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,473 citations
  4. PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
  5. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsTianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,922 citations
  6. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,795 citations
  7. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
  8. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
  9. RoFormer: Enhanced Transformer with Rotary Position EmbeddingJianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 2,963 citations
  10. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  11. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,775 citations
  12. SpanBERT: Improving Pre-training by Representing and Predicting SpansMandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,598 citations
  13. Measuring Mathematical Problem Solving With the MATH DatasetDan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,320 citations
  14. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,229 citations
  15. Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,118 citations
  16. TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,052 citations
  17. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsTaylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,886 citations
  18. Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceTimo Schick, Hinrich Schütze2021 · 1,803 citations
  19. Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,753 citations
  20. OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,720 citations
  21. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
  22. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
  23. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
  24. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
  25. Unifying Large Language Models and Knowledge Graphs: A RoadmapShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,549 citations
  26. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,425 citations
  27. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  28. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,281 citations
  29. CamemBERT: a Tasty French Language ModelLouis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.2019 · 1,267 citations
  30. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
  31. What Makes Good In-Context Examples for GPT-3?Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,238 citations
  32. BERTweet: A pre-trained language model for English TweetsDat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen2020 · 1,142 citations
  33. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,122 citations
  34. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,096 citations
  35. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,051 citations
  36. Quantifying Attention Flow in TransformersSamira Abnar, Willem Zuidema2020 · 1,051 citations
  37. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
  38. MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
  39. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 966 citations
  40. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
  41. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language ModelsNikita Nangia, Clara Vania, Rasika Bhalerao, et al.2020 · 887 citations
  42. MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferJonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2020 · 833 citations
  43. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
  44. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 821 citations
  45. ERASER: A Benchmark to Evaluate Rationalized NLP ModelsJay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 821 citations
  46. DocVQA: A Dataset for VQA on Document ImagesMinesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 820 citations
  47. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
  48. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 807 citations
  49. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
  50. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
  51. AdapterHub: A Framework for Adapting TransformersJonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 748 citations
  52. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 745 citations
  53. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 736 citations
  54. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
  55. WizardLM: Empowering large pre-trained language models to follow complex instructionsCan Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 731 citations
  56. Fact or Fiction: Verifying Scientific ClaimsDavid Wadden, Shanchuan Lin, Kyle Lo, et al.2020 · 706 citations
  57. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
  58. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 692 citations
  59. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 678 citations
  60. KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 665 citations
  61. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionAkari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 662 citations
  62. Instruction Tuning with GPT-4Baolin Peng, Chunyuan Li, Pengcheng He, et al.2023 · 654 citations
  63. A Frustratingly Easy Approach for Entity and Relation ExtractionZexuan Zhong, Danqi Chen2020 · 630 citations
  64. LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingYang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 623 citations
  65. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
  66. Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 607 citations
  67. 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
  68. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
  69. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
  70. Instruction-Following Evaluation for Large Language ModelsJeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 586 citations
  71. OCR-free Document Understanding TransformerGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 580 citations
  72. PhoBERT: Pre-trained language models for VietnameseDat Quoc Nguyen, Anh Tuan Nguyen2020 · 571 citations
  73. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationSumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 567 citations
  74. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIsYujia Qin, Shihao Liang, Yining Ye, et al.2023 · 566 citations
  75. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
  76. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionBiyang Guo, Xin Zhang, Ziyuan Wang, et al.2023 · 553 citations
  77. XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralizationJunjie Hu, Sebastian Ruder, Aditya Siddhant, et al.2020 · 552 citations
  78. Precise Zero-Shot Dense Retrieval without Relevance LabelsLuyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 545 citations
  79. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  80. Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  81. Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 529 citations
  82. Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
  83. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
  84. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsJohn Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 515 citations
  85. SPLADE: Sparse Lexical and Expansion Model for First Stage RankingThibault Formal, Benjamin Piwowarski, Stéphane Clinchant2021 · 511 citations
  86. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 506 citations
  87. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 497 citations
  88. DeeBERT: Dynamic Early Exiting for Accelerating BERT InferenceJi Xin, Raphael Tang, Jaejun Lee, et al.2020 · 483 citations
  89. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionKeshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 477 citations
  90. 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
  91. Data Augmentation using Pre-trained Transformer ModelsVarun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 470 citations
  92. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 462 citations
  93. Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationDawei Gao, Haibin Wang, Yaliang Li, et al.2023 · 461 citations
  94. From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual TransformersAnne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.2020 · 461 citations
  95. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 455 citations
  96. MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2022 · 454 citations
  97. Large language models are few-shot clinical information extractorsMonica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 450 citations
  98. GeDi: Generative Discriminator Guided Sequence GenerationBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 446 citations
  99. Masked Language Model ScoringJulian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 445 citations
  100. How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsPhillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 444 citations

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