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Who cites Antonio B. Torralba

2,894 citations of their works from 2,708 papers of our library (of the 149,439 whose bibliographies we read) · 455 with a page here, the most cited first · page 1 of 5 · 1–100 · ← Antonio B. Torralba

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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. Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2019 · 17,096 citations
  3. 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
  4. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  5. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 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. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
  8. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
  9. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
  10. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  11. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
  12. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
  13. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingarXiv:1906.08237Zhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,857 citations
  14. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 citations
  15. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksarXiv:1506.06724Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  16. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  17. Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 3,028 citations
  18. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  19. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  20. Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingarXiv:2007.15779Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon2020 · 2,674 citations
  21. 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
  22. ReAct: Synergizing Reasoning and Acting in Language ModelsarXiv:2210.03629Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,591 citations
  23. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingarXiv:2205.11487Chitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,533 citations
  24. Generating Sentences from a Continuous SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,435 citations
  25. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  26. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  27. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  28. 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
  29. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  30. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  31. 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
  32. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  33. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Chia-Wei Liu, Ryan Lowe, Iulian Serban, et al.2016 · 1,752 citations
  34. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
  35. REALM: Retrieval-Augmented Language Model Pre-TrainingarXiv:2002.08909Kelvin Guu, Kenton Lee, Zora Tung, et al.2020 · 1,580 citations
  36. 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
  37. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  38. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  39. Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,414 citations
  40. VideoBERT: A Joint Model for Video and Language Representation LearningIEEE/CVF International Conference on Computer Vision (ICCV)Chen Sun, Austin Myers, Carl Vondrick, et al.2019 · 1,345 citations
  41. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  42. 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
  43. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2020 · 1,322 citations
  44. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  45. 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
  46. AraBERT: Transformer-based Model for Arabic Language UnderstandingarXiv:2003.00104Wissam Antoun, Fady Baly, Hazem Hajj2020 · 1,304 citations
  47. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  48. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question AnsweringInternational Journal of Computer VisionYash Goyal, Tejas Khot, Douglas Summers-Stay, et al.2016 · 1,281 citations
  49. 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
  50. 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
  51. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  52. 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
  53. SemEval-2018 Task 1: Affect in TweetsInternational Workshop on Semantic Evaluation (SemEval)Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,094 citations
  54. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  55. What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic propertiesAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Conneau, German Kruszewski, Guillaume Lample, et al.2018 · 1,045 citations
  56. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,042 citations
  57. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
  58. Linguistic Knowledge and Transferability of Contextual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,021 citations
  59. 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
  60. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
  61. ERNIE: Enhanced Representation through Knowledge IntegrationarXiv:1904.09223Yu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 962 citations
  62. MPNet: Masked and Permuted Pre-training for Language UnderstandingarXiv:2004.09297Kaitao Song, Xu Tan, Tao Qin, et al.2020 · 957 citations
  63. Patient Knowledge Distillation for BERT Model CompressionarXiv:1908.09355Siqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 947 citations
  64. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 941 citations
  65. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nikita Nangia, Clara Vania, Rasika Bhalerao, et al.2020 · 897 citations
  66. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)John X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 863 citations
  67. DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceTao Shen, Tianyi Zhou, Guodong Long, et al.2017 · 854 citations
  68. Semi-supervised sequence tagging with bidirectional language modelsAnnual Meeting of the Association for Computational Linguistics (ACL)Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al.2017 · 795 citations
  69. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
  70. Learning Distributed Representations of Sentences from Unlabelled DataConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Felix Hill, Kyunghyun Cho, Anna Korhonen2016 · 765 citations
  71. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 747 citations
  72. ProgPrompt: Generating Situated Robot Task Plans using Large Language ModelsarXiv:2209.11302Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.2022 · 735 citations
  73. Transfer Learning in Natural Language ProcessingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, et al.2019 · 708 citations
  74. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 706 citations
  75. SPECTER: Document-level Representation Learning using Citation-informed TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Arman Cohan, Sergey Feldman, Iz Beltagy, et al.2020 · 697 citations
  76. TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
  77. Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citations
  78. context2vec: Learning Generic Context Embedding with Bidirectional LSTMConference on Computational Natural Language Learning (CoNLL)Oren Melamud, Jacob Goldberger, Ido Dagan2016 · 673 citations
  79. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
  80. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersarXiv:2002.01808Ruize Wang, Duyu Tang, Nan Duan, et al.2020 · 666 citations
  81. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateConference on Empirical Methods in Natural Language Processing (EMNLP)Tian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 651 citations
  82. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanmeng Yan, Rumei Li, Sirui Wang, et al.2021 · 647 citations
  83. Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondTransactions of the Association for Computational Linguistics (TACL)Mikel Artetxe, Holger Schwenk2018 · 635 citations
  84. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
  85. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
  86. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationarXiv:2308.08155Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al.2023 · 606 citations
  87. 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
  88. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksarXiv:1608.04207Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.2016 · 599 citations
  89. Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsFindings of the Association for Computational LinguisticsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 583 citations
  90. Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsJoint Conference on Lexical and Computational Semantics (*SEM)Svetlana Kiritchenko, Saif Mohammad2018 · 579 citations
  91. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
  92. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersarXiv:2408.03314Charlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 567 citations
  93. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  94. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  95. Machine Comprehension Using Match-LSTM and Answer PointerarXiv:1608.07905Shuohang Wang, Jing Jiang2016 · 541 citations
  96. The LAMBADA dataset: Word prediction requiring a broad discourse contextAnnual Meeting of the Association for Computational Linguistics (ACL)Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.2016 · 528 citations
  97. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 516 citations
  98. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  99. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  100. Does String-Based Neural MT Learn Source Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP)Xing Shi, Inkit Padhi, Kevin Knight2016 · 504 citations

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