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Who cites Hector J. Levesque

757 citations of their works from 757 papers of our library (of the 149,439 whose bibliographies we read) · 206 with a page here, the most cited first · page 1 of 3 · 1–100 · ← Hector J. Levesque

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  1. 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
  2. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
  3. 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
  4. 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
  5. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  6. 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
  7. 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
  8. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  9. The Power of Scale for Parameter-Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Brian Lester, Rami Al-Rfou, Noah Constant2021 · 4,287 citations
  10. Attention, Intentions, and the Structure of DiscourseComputational LinguisticsBarbara J. Grosz, Candace L. Sidner1986 · 2,929 citations
  11. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  12. 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
  13. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  14. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  15. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  16. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  17. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  18. CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alon Talmor, Jonathan Herzig, Nicholas Lourie, et al.2019 · 1,676 citations
  19. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  20. 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
  21. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
  22. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  23. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  24. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  25. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  26. 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
  27. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,132 citations
  28. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  29. GPT Understands, TooAI OpenXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,054 citations
  30. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
  31. PaLM 2 Technical ReportarXiv:2305.10403Rohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 1,000 citations
  32. AdapterFusion: Non-Destructive Task Composition for Transfer LearningarXiv:2005.00247 · Proceedings of EACL 2021Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.2020 · 958 citations
  33. MPNet: Masked and Permuted Pre-training for Language UnderstandingarXiv:2004.09297Kaitao Song, Xu Tan, Tao Qin, et al.2020 · 957 citations
  34. ChatGPT: Jack of all trades, master of nonearXiv:2302.10724 · Information Fusion 101,861 (2023)Jan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 866 citations
  35. Gender Bias in Coreference ResolutionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.2018 · 864 citations
  36. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemFindings of the Association for Computational LinguisticsDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 857 citations
  37. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
  38. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 754 citations
  39. IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesFindings of the Association for Computational LinguisticsDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 732 citations
  40. Explain Yourself! Leveraging Language Models for Commonsense ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.2019 · 701 citations
  41. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
  42. What do you learn from context? Probing for sentence structure in contextualized word representationsarXiv:1905.06316Ian Tenney, Patrick Xia, Berlin Chen, et al.2019 · 602 citations
  43. Evaluating Gender Bias in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer2019 · 593 citations
  44. Towards a Human-like Open-Domain ChatbotarXiv:2001.09977Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 592 citations
  45. A Robustly Optimized BERT Pre-training Approach with Post-trainingChinese National Conference on Computational LinguisticsLiu Zhuang, Lin Wayne, Shi Ya, et al.2021 · 587 citations
  46. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
  47. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  48. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 544 citations
  49. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
  50. Commonsense Reasoning and Commonsense Knowledge in Artificial IntelligenceCommunications of the ACMErnest Davis, Gary Marcus2015 · 508 citations
  51. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 503 citations
  52. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  53. XCOPA: A Multilingual Dataset for Causal Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.2020 · 469 citations
  54. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  55. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  56. Computational Generation of Referring Expressions: A SurveyComputational LinguisticsEmiel Krahmer, Kees van Deemter2012 · 433 citations
  57. Commonsense Knowledge Mining from Pretrained ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Joe Davison, Joshua Feldman, Alexander Rush2019 · 413 citations
  58. True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 412 citations
  59. Do Prompt-Based Models Really Understand the Meaning of Their Prompts?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Albert Webson, Ellie Pavlick2022 · 407 citations
  60. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading ComprehensionarXiv:1810.12885Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.2018 · 388 citations
  61. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
  62. Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsKellie Webster, Marta Recasens, Vera Axelrod, et al.2018 · 358 citations
  63. RobBERT: a Dutch RoBERTa-based Language ModelarXiv:2001.06286Pieter Delobelle, Thomas Winters, Bettina Berendt2020 · 349 citations
  64. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  65. Language Is Not All You Need: Aligning Perception with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 330 citations
  66. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
  67. How many data points is a prompt worth?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Teven Le Scao, Alexander Rush2021 · 320 citations
  68. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  69. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
  70. Muppet: Massive Multi-task Representations with Pre-FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP)Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 307 citations
  71. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  72. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  73. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 304 citations
  74. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 304 citations
  75. DialogSum: A Real-Life Scenario Dialogue Summarization DatasetFindings of the Association for Computational LinguisticsYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
  76. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  77. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL)Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
  78. Retentive Network: A Successor to Transformer for Large Language ModelsarXiv:2307.08621Yutao Sun, Li Dong, Shaohan Huang, et al.2023 · 265 citations
  79. SocialIQA: Commonsense Reasoning about Social InteractionsarXiv:1904.09728Maarten Sap, Hannah Rashkin, Derek Chen, et al.2019 · 259 citations
  80. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  81. Resolving Complex Cases of Definite Pronouns: The Winograd Schema ChallengeConference on Empirical Methods in Natural Language Processing (EMNLP)Altaf Rahman, Vincent Ng2012 · 243 citations
  82. BERT-of-Theseus: Compressing BERT by Progressive Module ReplacingConference on Empirical Methods in Natural Language Processing (EMNLP)Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.2020 · 240 citations
  83. Curriculum Learning for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Benfeng Xu, Licheng Zhang, Zhendong Mao, et al.2020 · 240 citations
  84. Harvesting Paragraph-level Question-Answer Pairs from WikipediaAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Claire Cardie2018 · 232 citations
  85. Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Deming Ye, Yankai Lin, Jiaju Du, et al.2020 · 228 citations
  86. Unsupervised Evaluation of Interactive Dialog with DialoGPTAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Shikib Mehri, Maxine Eskenazi2020 · 224 citations
  87. The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit WarrantsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al.2018 · 217 citations
  88. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 213 citations
  89. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  90. HateCheck: Functional Tests for Hate Speech Detection ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.2021 · 204 citations
  91. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  92. Exploring and Predicting Transferability across NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.2020 · 198 citations
  93. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
  94. Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 193 citations
  95. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  96. MuTual: A Dataset for Multi-Turn Dialogue ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leyang Cui, Yu Wu, Shujie Liu, et al.2020 · 190 citations
  97. Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 182 citations
  98. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  99. Learning To Use Formulas To Solve Simple Arithmetic ProblemsArindam Mitra, Chitta Baral2016 · 178 citations
  100. Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL)Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.2021 · 177 citations

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