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Who cites «A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference»

2,320 papers of our library cite it (of the 149,439 whose bibliographies we read) · 448 with a page here, the most cited first · page 2 of 5 · 101–200 · ← back to «A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference»

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  1. Byte Pair Encoding is Suboptimal for Language Model PretrainingFindings of the Association for Computational LinguisticsKaj Bostrom, Greg Durrett2020 · 310 citations
  2. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
  3. 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
  4. 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
  5. 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
  6. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  7. 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
  8. 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
  9. 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
  10. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  11. 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
  12. 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
  13. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 292 citations
  14. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Adam Fisch, Regina Barzilay2021 · 290 citations
  15. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Zhou, Xu Han, Cheng Yang, et al.2019 · 289 citations
  16. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  17. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 285 citations
  18. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 284 citations
  19. Contextualized Perturbation for Textual Adversarial AttackConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 283 citations
  20. XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 281 citations
  21. 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
  22. OpenPrompt: An Open-source Framework for Prompt-learningAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Ding, Shengding Hu, Weilin Zhao, et al.2022 · 279 citations
  23. COVIDLies: Detecting COVID-19 Misinformation on Social MediaWorkshop on NLP for COVID-19 at ACLTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, et al.2020 · 271 citations
  24. Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Haoyang Huang, Yaobo Liang, Nan Duan, et al.2019 · 265 citations
  25. How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Annual Meeting of the Association for Computational Linguistics (ACL)Tal Linzen2020 · 263 citations
  26. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 262 citations
  27. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualWorkshop on Deep Learning Approaches for Low-Resource NLPHe He, Sheng Zha, Haohan Wang2019 · 260 citations
  28. Generating Datasets with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schutze2021 · 254 citations
  29. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
  30. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  31. 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
  32. 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
  33. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 237 citations
  34. Self-Guided Contrastive Learning for BERT Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Taeuk Kim, Kang Min Yoo, Sang-goo Lee2021 · 234 citations
  35. Automatically Identifying Words That Can Serve as Labels for Few-Shot Text ClassificationInternational Conference on Computational Linguistics (COLING)Timo Schick, Helmut Schmid, Hinrich Schütze2020 · 234 citations
  36. 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
  37. HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationFindings of the Association for Computational LinguisticsYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 228 citations
  38. Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 222 citations
  39. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  40. Syntactic Data Augmentation Increases Robustness to Inference HeuristicsAnnual Meeting of the Association for Computational Linguistics (ACL)Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al.2020 · 220 citations
  41. 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
  42. Maieutic Prompting: Logically Consistent Reasoning with Recursive ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jaehun Jung, Lianhui Qin, Sean Welleck, et al.2022 · 219 citations
  43. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4arXiv:2304.03439Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 217 citations
  44. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
  45. Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Margaret Li, Stephen Roller, Ilia Kulikov, et al.2020 · 217 citations
  46. 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
  47. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
  48. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 210 citations
  49. “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference LettersFindings of the Association for Computational LinguisticsYixin Wan, George Pu, Jiao Sun, et al.2023 · 208 citations
  50. Evaluating Factuality in Generation with Dependency-level EntailmentFindings of the Association for Computational LinguisticsTanya Goyal, Greg Durrett2020 · 205 citations
  51. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  52. Improved Lexically Constrained Decoding for Translation and Monolingual RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 199 citations
  53. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  54. 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
  55. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  56. What Can We Learn from Collective Human Opinions on Natural Language Inference Data?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yixin Nie, Xiang Zhou, Mohit Bansal2020 · 196 citations
  57. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  58. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 194 citations
  59. That is a Known Lie: Detecting Previously Fact-Checked ClaimsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, et al.2020 · 193 citations
  60. 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
  61. Challenges in Automated Debiasing for Toxic Language DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 191 citations
  62. Enhancing Factual Consistency of Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenguang Zhu, William Hinthorn, Ruochen Xu, et al.2021 · 190 citations
  63. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  64. Gradient-based Adversarial Attacks against Text TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al.2021 · 189 citations
  65. Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov2020 · 187 citations
  66. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationarXiv:2106.12672Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 186 citations
  67. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  68. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  69. Planning with Learned Entity Prompts for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)Shashi Narayan, Yao Zhao, Joshua Maynez, et al.2021 · 180 citations
  70. Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsConference on Empirical Methods in Natural Language Processing (EMNLP)Alex Warstadt, Yu Cao, Ioana Grosu, et al.2019 · 179 citations
  71. 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
  72. Translation Artifacts in Cross-lingual Transfer LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mikel Artetxe, Gorka Labaka, Eneko Agirre2020 · 176 citations
  73. Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 175 citations
  74. Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.2023 · 174 citations
  75. Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 174 citations
  76. 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
  77. Zero-Shot Cross-Lingual Transfer with Meta LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.2020 · 171 citations
  78. COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 PandemicAnnual Meeting of the Association for Computational Linguistics (ACL)Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan2021 · 169 citations
  79. QuALITY: Question Answering with Long Input Texts, Yes!Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.2022 · 167 citations
  80. Label Verbalization and Entailment for Effective Zero and Few-Shot Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, et al.2021 · 167 citations
  81. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  82. Sustainable Modular Debiasing of Language ModelsFindings of the Association for Computational LinguisticsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  83. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.2022 · 164 citations
  84. 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
  85. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 161 citations
  86. Larger-Scale Transformers for Multilingual Masked Language ModelingWorkshop on Representation Learning for NLPNaman Goyal, Jingfei Du, Myle Ott, et al.2021 · 161 citations
  87. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  88. Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych2020 · 159 citations
  89. Reevaluating Adversarial Examples in Natural LanguageFindings of the Association for Computational LinguisticsJohn Morris, Eli Lifland, Jack Lanchantin, et al.2020 · 151 citations
  90. INFOTABS: Inference on Tables as Semi-structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.2020 · 150 citations
  91. 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
  92. BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized DataAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Song, Yan Wang, Kaiyan Zhang, et al.2021 · 149 citations
  93. Do latent tree learning models identify meaningful structure in sentences?Transactions of the Association for Computational Linguistics (TACL)Adina Williams, Andrew Drozdov, Samuel R. Bowman2018 · 149 citations
  94. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  95. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 148 citations
  96. OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 148 citations
  97. Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.2021 · 147 citations
  98. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
  99. Unified Demonstration Retriever for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaonan Li, Kai Lv, Hang Yan, et al.2023 · 146 citations
  100. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 144 citations

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