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Who cites Raquel Urtasun

2,065 citations of their works from 1,942 papers of our library (of the 149,439 whose bibliographies we read) · 327 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Raquel Urtasun

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  1. ToTTo: A Controlled Table-To-Text Generation DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.2020 · 482 citations
  2. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP)Linjie Li, Yen-Chun Chen, Yu Cheng, et al.2020 · 481 citations
  3. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  4. Joint Embedding of Words and Labels for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.2018 · 465 citations
  5. 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
  6. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
  7. ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingFindings of the Association for Computational LinguisticsWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 453 citations
  8. LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
  9. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  10. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  11. Offline bilingual word vectors, orthogonal transformations and the inverted softmaxarXiv:1702.03859Samuel L. Smith, David H. P. Turban, Steven Hamblin, et al.2017 · 435 citations
  12. Natural Language Inference by Tree-Based Convolution and Heuristic MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Lili Mou, Rui Men, Ge Li, et al.2016 · 430 citations
  13. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
  14. Exploiting Source-side Monolingual Data in Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiajun Zhang, Chengqing Zong2016 · 409 citations
  15. How to Fine-Tune BERT for Text Classification?arXiv:1905.05583Chi Sun, Xipeng Qiu, Yige Xu, et al.2019 · 407 citations
  16. Depression and Self-Harm Risk Assessment in Online ForumsConference on Empirical Methods in Natural Language Processing (EMNLP)Andrew Yates, Arman Cohan, Nazli Goharian2017 · 404 citations
  17. ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question AnsweringProceedings of the AAAI Conference on Artificial IntelligenceZhou Yu, Dejing Xu, Jun Yu, et al.2019 · 403 citations
  18. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 395 citations
  19. Evaluation of Text Generation: A SurveyarXiv:2006.14799Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao2020 · 388 citations
  20. What makes a good conversation? How controllable attributes affect human judgmentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abigail See, Stephen Roller, Douwe Kiela, et al.2019 · 374 citations
  21. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
  22. TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueConference on Empirical Methods in Natural Language Processing (EMNLP)Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.2020 · 361 citations
  23. Adversarial Removal of Demographic Attributes from Text DataConference on Empirical Methods in Natural Language Processing (EMNLP)Yanai Elazar, Yoav Goldberg2018 · 359 citations
  24. Visual StorytellingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.2016 · 356 citations
  25. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 352 citations
  26. Compressive Transformers for Long-Range Sequence ModellingarXiv:1911.05507Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.2019 · 340 citations
  27. Neural Paraphrase Generation with Stacked Residual LSTM NetworksInternational Conference on Computational Linguistics (COLING)Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al.2016 · 337 citations
  28. Poincaré Embeddings for Learning Hierarchical RepresentationsarXiv:1705.08039Maximilian Nickel, Douwe Kiela2017 · 336 citations
  29. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Jianshu Chen, et al.2019 · 334 citations
  30. 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
  31. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  32. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations
  33. WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Krishna Srinivasan, Karthik Raman, Jiecao Chen, et al.2021 · 315 citations
  34. Neural Natural Language Inference Models Enhanced with External KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.2018 · 315 citations
  35. A Transformer-based approach to Irony and Sarcasm detectionNeural Computing and ApplicationsRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
  36. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 311 citations
  37. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 308 citations
  38. Learning to Write with Cooperative DiscriminatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Ari Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 303 citations
  39. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  40. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 297 citations
  41. BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaFindings of the Association for Computational LinguisticsAbhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.2022 · 296 citations
  42. Diverse Few-Shot Text Classification with Multiple MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.2018 · 291 citations
  43. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  44. USR: An Unsupervised and Reference Free Evaluation Metric for Dialog GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Shikib Mehri, Maxine Eskenazi2020 · 286 citations
  45. Cloze-driven Pretraining of Self-attention NetworksarXiv:1903.07785Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.2019 · 286 citations
  46. Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al.2021 · 276 citations
  47. DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.2022 · 269 citations
  48. Condenser: a Pre-training Architecture for Dense RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Luyu Gao, Jamie Callan2021 · 261 citations
  49. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential ReasoningPradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.2019 · 259 citations
  50. SocialIQA: Commonsense Reasoning about Social InteractionsarXiv:1904.09728Maarten Sap, Hannah Rashkin, Derek Chen, et al.2019 · 259 citations
  51. BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language ModelarXiv:1902.04094Alex Wang, Kyunghyun Cho2019 · 256 citations
  52. Contrastive Decoding: Open-ended Text Generation as OptimizationarXiv:2210.15097Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.2022 · 254 citations
  53. Generating Datasets with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schutze2021 · 254 citations
  54. Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zheng, Mirella Lapata2019 · 251 citations
  55. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  56. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionarXiv:1904.12584Jiayuan Mao, Chuang Gan, Pushmeet Kohli, et al.2019 · 241 citations
  57. Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaochuang Han, Jacob Eisenstein2019 · 241 citations
  58. Evaluating Commonsense in Pre-trained Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXuhui Zhou, Yue Zhang, Leyang Cui, et al.2019 · 235 citations
  59. AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on TweetsItalian Conference on Computational LinguisticsMarco Polignano, Pierpaolo Basile, Marco de Gemmis, et al.2019 · 232 citations
  60. Probing for semantic evidence of composition by means of simple classification tasksWorkshop on Evaluating Vector Space Representations for NLPAllyson Ettinger, Ahmed Elgohary, Philip Resnik2016 · 224 citations
  61. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionInternational Workshop on Semantic Evaluation (SemEval)Guido Zarrella, Amy Marsh2016 · 223 citations
  62. Unsupervised Question Decomposition for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 222 citations
  63. What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAmil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 220 citations
  64. Transforming Question Answering Datasets Into Natural Language Inference DatasetsarXiv:1809.02922Dorottya Demszky, Kelvin Guu, Percy Liang2018 · 220 citations
  65. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
  66. 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
  67. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetConference on Neural Information Processing Systems (NeurIPS)Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 213 citations
  68. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
  69. An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Zhang, Ruidan He, Zuozhu Liu, et al.2020 · 213 citations
  70. Optimus: Organizing Sentences via Pre-trained Modeling of a Latent SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Chunyuan Li, Xiang Gao, Yuan Li, et al.2020 · 208 citations
  71. CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersInternational Conference on Computational Linguistics (COLING)Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.2020 · 206 citations
  72. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  73. EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language UnderstandingConference on Neural Information Processing Systems (NeurIPS)Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik2023 · 195 citations
  74. Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsarXiv:2104.04670Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.2021 · 195 citations
  75. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 193 citations
  76. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations
  77. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
  78. Supervised and Unsupervised Neural Approaches to Text ReadabilityComputational LinguisticsMatej Martinc, Senja Pollak, Marko Robnik-Šikonja2021 · 190 citations
  79. DuoRC: Towards Complex Language Understanding with Paraphrased Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al.2018 · 190 citations
  80. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
  81. End-to-End Differentiable ProvingarXiv:1705.11040Tim Rocktäschel, Sebastian Riedel2017 · 188 citations
  82. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesLanguage Resources and Evaluation Conference (LREC)Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 181 citations
  83. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  84. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  85. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  86. Large Language Model UnlearningConference on Neural Information Processing Systems (NeurIPS)Yuanshun Yao, Xiaojun Xu, Yang Liu2023 · 174 citations
  87. Does it Make Sense? And Why? A Pilot Study for Sense Making and ExplanationAnnual Meeting of the Association for Computational Linguistics (ACL)Cunxiang Wang, Shuailong Liang, Yue Zhang, et al.2019 · 174 citations
  88. Unsupervised Opinion Summarization as Copycat-Review GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Arthur Bražinskas, Mirella Lapata, Ivan Titov2020 · 173 citations
  89. Self-training Improves Pre-training for Natural Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jingfei Du, Edouard Grave, Beliz Gunel, et al.2021 · 172 citations
  90. Improving Machine Reading Comprehension with General Reading StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 172 citations
  91. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP)Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 169 citations
  92. Sustainable Modular Debiasing of Language ModelsFindings of the Association for Computational LinguisticsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  93. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationInternational Joint Conference on Artificial IntelligenceDongling Xiao, Han Zhang, Yukun Li, et al.2020 · 163 citations
  94. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 163 citations
  95. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  96. Specialising Word Vectors for Lexical EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ivan Vulić, Nikola Mrkšić2018 · 160 citations
  97. Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingarXiv:2210.03347Kenton Lee, Mandar Joshi, Iulia Turc, et al.2022 · 158 citations
  98. MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.2020 · 158 citations
  99. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusLanguage Resources and Evaluation Conference (LREC)Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 156 citations
  100. Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations

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