🔗 Who cites «A large annotated corpus for learning natural language inference»

2008 papers of our library cite it (of the 149,439 whose bibliographies we read) · 427 with a page here, the most cited first · page 1 of 5 · 1–100 · ← back to «A large annotated corpus for learning natural language inference»

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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. 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
4. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
5. Unsupervised Cross-lingual Representation Learning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Conneau, Kartikay Khandelwal, Naman Goyal, et al.2020 · 9,468 citations
6. 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
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. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
9. 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
10. 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
11. BLEURT: Learning Robust Metrics for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Thibault Sellam, Dipanjan Das, Ankur Parikh2020 · 2,032 citations
12. 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
13. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
14. 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
15. 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
16. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
17. 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
18. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
19. 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
20. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,662 citations
21. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
22. 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
23. 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
24. 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
25. 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
26. 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
27. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2020 · 1,322 citations
28. 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
29. 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
30. 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
31. 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
32. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
33. Evaluating the Factual Consistency of Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Bryan McCann, Caiming Xiong, et al.2020 · 1,120 citations
34. Generating Natural Language Adversarial ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP)Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, et al.2018 · 1,111 citations
35. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsTransactions of the Association for Computational Linguistics (TACL)Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.2016 · 1,055 citations
36. 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
37. Attention is not ExplanationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sarthak Jain, Byron C. Wallace2019 · 1,021 citations
38. ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceYu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 995 citations
39. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
40. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsDheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.2019 · 960 citations
41. Bilateral Multi-Perspective Matching for Natural Language SentencesInternational Joint Conference on Artificial IntelligenceZhiguo Wang, Wael Hamza, Radu Florian2017 · 933 citations
42. C-Pack: Packed Resources For General Chinese EmbeddingsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Shitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 922 citations
43. 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
44. BERT-ATTACK: Adversarial Attack Against BERT Using BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Linyang Li, Ruotian Ma, Qipeng Guo, et al.2020 · 843 citations
45. On the Sentence Embeddings from Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bohan Li, Hao Zhou, Junxian He, et al.2020 · 833 citations
46. ERASER: A Benchmark to Evaluate Rationalized NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 832 citations
47. Entity, Relation, and Event Extraction with Contextualized Span RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Ulme Wennberg, Yi Luan, et al.2019 · 823 citations
48. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
49. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
50. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 747 citations
51. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
52. 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
53. 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
54. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 647 citations
55. 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
56. 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
57. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
58. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 598 citations
59. 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 · 584 citations
60. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsFindings of the Association for Computational LinguisticsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 575 citations
61. Multilingual Universal Sentence Encoder for Semantic RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Yinfei Yang, Daniel Cer, Amin Ahmad, et al.2020 · 570 citations
62. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
63. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
64. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
65. 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
66. Breaking NLI Systems with Sentences that Require Simple Lexical InferencesMax Glockner, Vered Shwartz, Yoav Goldberg2018 · 525 citations
67. Crowdsourcing Multiple Choice Science QuestionsWorkshop on Noisy User-generated TextJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 524 citations
68. Stance Detection with Bidirectional Conditional EncodingConference on Empirical Methods in Natural Language Processing (EMNLP)Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.2016 · 522 citations
69. Learning Gender-Neutral Word EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.2018 · 520 citations
70. 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
71. TabFact: A Large-scale Dataset for Table-based Fact VerificationarXiv:1909.02164Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 515 citations
72. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
73. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 503 citations
74. Learning Natural Language Inference with LSTMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shuohang Wang, Jing Jiang2016 · 499 citations
75. Enabling Large Language Models to Generate Text with CitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 485 citations
76. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
77. 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
78. Emergent: a novel data-set for stance classificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)William Ferreira, Andreas Vlachos2016 · 458 citations
79. Inherent Disagreements in Human Textual InferencesEllie Pavlick, Tom Kwiatkowski2019 · 454 citations
80. Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 452 citations
81. Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.2019 · 445 citations
82. Improving Text Embeddings with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2024 · 437 citations
83. 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
84. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
85. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 406 citations
86. Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 385 citations
87. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 366 citations
88. Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceAnnual Meeting of the Association for Computational Linguistics (ACL)Federico Bianchi, Silvia Terragni, Dirk Hovy2021 · 366 citations
89. RARR: Researching and Revising What Language Models Say, Using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al.2023 · 359 citations
90. Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 350 citations
91. Word-level Textual Adversarial Attacking as Combinatorial OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 340 citations
92. Certified Robustness to Adversarial Word SubstitutionsConference on Empirical Methods in Natural Language Processing (EMNLP)Robin Jia, Aditi Raghunathan, Kerem Göksel, et al.2019 · 340 citations
93. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
94. 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
95. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
96. How Transferable are Neural Networks in NLP Applications?Conference on Empirical Methods in Natural Language Processing (EMNLP)Lili Mou, Zhao Meng, Rui Yan, et al.2016 · 328 citations
97. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
98. The Fact Extraction and VERification (FEVER) Shared TaskFact Extraction and VERification Workshop (FEVER)James Thorne, Andreas Vlachos, Oana Cocarascu, et al.2018 · 322 citations
99. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
100. 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

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