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Who cites Christopher E. Potts

11,943 citations of their works from 9,352 papers of our library (of the 149,439 whose bibliographies we read) · 1,666 with a page here, the most cited first · page 1 of 17 · 1–100 · ← Christopher E. Potts

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  1. Adam: A Method for Stochastic OptimizationarXiv:1412.6980Diederik P. Kingma, Jimmy Ba2014 · 90,277 citations
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citations
  3. Efficient Estimation of Word Representations in Vector SpacearXiv:1301.3781Tomas Mikolov, Kai Chen, Greg Corrado, et al.2013 · 28,759 citations
  4. Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2019 · 17,096 citations
  5. Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim2014 · 16,299 citations
  6. Deep Contextualized Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.2018 · 14,944 citations
  7. GPT-4 Technical ReportarXiv:2303.08774OpenAI, Josh Achiam, Steven Adler, et al.2023 · 13,036 citations
  8. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,856 citations
  9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  10. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,224 citations
  11. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  12. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  13. LoRA: Low-Rank Adaptation of Large Language ModelsarXiv:2106.09685Edward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,661 citations
  14. The Stanford CoreNLP Natural Language Processing ToolkitAnnual Meeting of the Association for Computational Linguistics (ACL)Christopher Manning, Mihai Surdeanu, John Bauer, et al.2014 · 8,644 citations
  15. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  16. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,276 citations
  17. Distributed Representations of Sentences and DocumentsarXiv:1405.4053Quoc V. Le, Tomas Mikolov2014 · 5,803 citations
  18. A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Adina Williams, Nikita Nangia, Samuel R. Bowman2018 · 5,551 citations
  19. Hierarchical Attention Networks for Document ClassificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zichao Yang, Diyi Yang, Chris Dyer, et al.2016 · 5,436 citations
  20. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  21. A large annotated corpus for learning natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Gabor Angeli, Christopher Potts, et al.2015 · 5,299 citations
  22. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  23. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  24. Large Language Models Encode Clinical KnowledgeNatureKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,492 citations
  25. Learning Word Vectors for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.2011 · 4,333 citations
  26. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
  27. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
  28. Large language models are zero-shot reasonersConference on Neural Information Processing Systems (NeurIPS)Takeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,832 citations
  29. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
  30. Know What You Don't Know: Unanswerable Questions for SQuADAnnual Meeting of the Association for Computational Linguistics (ACL)Pranav Rajpurkar, Robin Jia, Percy Liang2018 · 3,405 citations
  31. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  32. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
  33. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  34. QLoRA: Efficient Finetuning of Quantized LLMsConference on Neural Information Processing Systems (NeurIPS)Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.2023 · 2,929 citations
  35. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelarXiv:2305.18290Rafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,896 citations
  36. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  37. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  38. Attention-based LSTM for Aspect-level Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,621 citations
  39. SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,616 citations
  40. Sparks of Artificial General Intelligence: Early experiments with GPT-4arXiv:2303.12712Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,439 citations
  41. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  42. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  43. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  44. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  45. FEVER: a Large-scale Dataset for Fact Extraction and VERificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.2018 · 2,221 citations
  46. Tensor Fusion Network for Multimodal Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Amir Zadeh, Minghai Chen, Soujanya Poria, et al.2017 · 2,125 citations
  47. TruthfulQA: Measuring How Models Mimic Human FalsehoodsAnnual Meeting of the Association for Computational Linguistics (ACL)Stephanie Lin, Jacob Hilton, Owain Evans2022 · 2,088 citations
  48. BLEURT: Learning Robust Metrics for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Thibault Sellam, Dipanjan Das, Ankur Parikh2020 · 2,032 citations
  49. Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Adam Fisch, Danqi Chen2021 · 1,987 citations
  50. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  51. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,909 citations
  52. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  53. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  54. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationInternational Workshop on Semantic Evaluation (SemEval)Daniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,828 citations
  55. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
  56. Reasoning With Neural Tensor Networks for Knowledge Base CompletionConference on Neural Information Processing Systems (NeurIPS)Richard Socher, Danqi Chen, Christopher D. Manning, et al.2013 · 1,810 citations
  57. What Does BERT Learn about the Structure of Language?Annual Meeting of the Association for Computational Linguistics (ACL)Ganesh Jawahar, Benoît Sagot, Djamé Seddah2019 · 1,806 citations
  58. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  59. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  60. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  61. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  62. Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2015 · 1,686 citations
  63. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
  64. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  65. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,662 citations
  66. SemEval-2016 Task 5: Aspect Based Sentiment AnalysisInternational Workshop on Semantic Evaluation (SemEval)Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2016 · 1,661 citations
  67. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
  68. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  69. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  70. Semantic Compositionality through Recursive Matrix-Vector SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Brody Huval, Christopher D. Manning, et al.2012 · 1,577 citations
  71. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
  72. Universal Sentence Encoder for EnglishConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,546 citations
  73. Multi-Task Deep Neural Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.2019 · 1,524 citations
  74. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion GraphAnnual Meeting of the Association for Computational Linguistics (ACL)AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.2018 · 1,522 citations
  75. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  76. GLM: General Language Model Pretraining with Autoregressive Blank InfillingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,455 citations
  77. Semi-Supervised Recursive Autoencoders for Predicting Sentiment DistributionsConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.2011 · 1,426 citations
  78. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  79. Language-agnostic BERT Sentence EmbeddingAnnual Meeting of the Association for Computational Linguistics (ACL)Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,413 citations
  80. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of DataAnnual Meeting of the Association for Computational Linguistics (ACL)Emily M. Bender, Alexander Koller2020 · 1,382 citations
  81. Learning Sentiment-Specific Word Embedding for Twitter Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Duyu Tang, Furu Wei, Nan Yang, et al.2014 · 1,346 citations
  82. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,330 citations
  83. Deep Biaffine Attention for Neural Dependency ParsingTimothy Dozat, Christopher D. Manning2016 · 1,326 citations
  84. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2020 · 1,322 citations
  85. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  86. Long Short-Term Memory-Networks for Machine ReadingConference on Empirical Methods in Natural Language Processing (EMNLP)Jianpeng Cheng, Li Dong, Mirella Lapata2016 · 1,313 citations
  87. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings of the Association for Computational LinguisticsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,306 citations
  88. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
  89. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  90. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
  91. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  92. Assessing the Ability of LSTMs to Learn Syntax-Sensitive DependenciesTransactions of the Association for Computational Linguistics (TACL)Tal Linzen, Emmanuel Dupoux, Yoav Goldberg2016 · 1,256 citations
  93. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Li Dong, Furu Wei, Chuanqi Tan, et al.2014 · 1,217 citations
  94. Attention is not not ExplanationConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Yuval Pinter2019 · 1,208 citations
  95. Aspect Level Sentiment Classification with Deep Memory NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2016 · 1,197 citations
  96. On the Cross-lingual Transferability of Monolingual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Mikel Artetxe, Sebastian Ruder, Dani Yogatama2020 · 1,179 citations
  97. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  98. StereoSet: Measuring stereotypical bias in pretrained language modelsAnnual Meeting of the Association for Computational Linguistics (ACL)Moin Nadeem, Anna Bethke, Siva Reddy2021 · 1,141 citations
  99. Baselines and Bigrams: Simple, Good Sentiment and Topic ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sida Wang, Christopher Manning2012 · 1,136 citations
  100. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhonearXiv:2404.14219Marah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,134 citations

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