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Who cites Jean Y. Wu

2,654 citations of their works from 2,651 papers of our library (of the 149,439 whose bibliographies we read) · 418 with a page here, the most cited first · page 3 of 5 · 201–300 · ← Jean Y. Wu

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  1. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
  2. Active Example Selection for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Zhang, Shi Feng, Chenhao Tan2022 · 209 citations
  3. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  4. Recursive Deep Models for Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Rumeng Li, Eduard Hovy2014 · 206 citations
  5. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasConference on Neural Information Processing Systems (NeurIPS)Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 202 citations
  6. Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
  7. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  8. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  9. One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse RelationsTransactions of the Association for Computational Linguistics (TACL)Yangfeng Ji, Jacob Eisenstein2015 · 198 citations
  10. 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
  11. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
  12. A Dataset for Multi-Target Stance DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
  13. Tweet Sarcasm Detection Using Deep Neural NetworkInternational Conference on Computational Linguistics (COLING)Meishan Zhang, Yue Zhang, Guohong Fu2016 · 190 citations
  14. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 189 citations
  15. 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
  16. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationarXiv:2106.12672Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 186 citations
  17. 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
  18. Modeling Empathy and Distress in Reaction to News StoriesConference on Empirical Methods in Natural Language Processing (EMNLP)Sven Buechel, Anneke Buffone, Barry Slaff, et al.2018 · 181 citations
  19. 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
  20. On the Robustness of ChatGPT: An Adversarial and Out-of-distribution PerspectivearXiv:2302.12095Jindong Wang, Xixu Hu, Wenxin Hou, et al.2023 · 176 citations
  21. Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 175 citations
  22. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  23. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  24. 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
  25. Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 170 citations
  26. What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentationConference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Habernal, Iryna Gurevych2016 · 165 citations
  27. Achieving Verified Robustness to Symbol Substitutions via Interval Bound PropagationConference on Empirical Methods in Natural Language Processing (EMNLP)Po-Sen Huang, Robert Stanforth, Johannes Welbl, et al.2019 · 163 citations
  28. Creating and Characterizing a Diverse Corpus of Sarcasm in DialogueShereen Oraby, Vrindavan Harrison, Lena Reed, et al.2016 · 163 citations
  29. Deep Learning Models for Sentiment Analysis in ArabicWorkshop on Arabic Natural Language ProcessingAhmad Al Sallab, Hazem Hajj, Gilbert Badaro, et al.2015 · 162 citations
  30. Larger-Scale Transformers for Multilingual Masked Language ModelingWorkshop on Representation Learning for NLPNaman Goyal, Jingfei Du, Myle Ott, et al.2021 · 161 citations
  31. Shallow Convolutional Neural Network for Implicit Discourse Relation RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Biao Zhang, Jinsong Su, Deyi Xiong, et al.2015 · 161 citations
  32. Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and OrderingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, et al.2022 · 159 citations
  33. Colors in Context: A Pragmatic Neural Model for Grounded Language UnderstandingTransactions of the Association for Computational Linguistics (TACL)Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.2017 · 156 citations
  34. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  35. Multiple Instance Learning Networks for Fine-Grained Sentiment AnalysisTransactions of the Association for Computational Linguistics (TACL)Stefanos Angelidis, Mirella Lapata2018 · 154 citations
  36. Fine-Tuning Language Models with Just Forward PassesConference on Neural Information Processing Systems (NeurIPS)Sadhika Malladi, Tianyu Gao, Eshaan Nichani, et al.2023 · 153 citations
  37. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  38. 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
  39. Discourse Parsing with Attention-based Hierarchical Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Qi Li, Tianshi Li, Baobao Chang2016 · 150 citations
  40. 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
  41. Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Uri Shaham, Samuel R. Bowman, et al.2022 · 148 citations
  42. Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?Findings of the Association for Computational LinguisticsThang Pham, Trung Bui, Long Mai, et al.2021 · 148 citations
  43. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 147 citations
  44. 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
  45. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 144 citations
  46. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  47. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
  48. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepAnnual Meeting of the Association for Computational Linguistics (ACL)Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 140 citations
  49. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.2021 · 135 citations
  50. Interpretable Neural Predictions with Differentiable Binary VariablesAnnual Meeting of the Association for Computational Linguistics (ACL)Jasmijn Bastings, Wilker Aziz, Ivan Titov2019 · 135 citations
  51. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  52. Simple synthetic data reduces sycophancy in large language modelsarXiv:2308.03958Jerry Wei, Da Huang, Yifeng Lu, et al.2023 · 134 citations
  53. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural NetworkInternational Conference on Computational Linguistics (COLING)Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen2016 · 134 citations
  54. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL)Paula Czarnowska, Yogarshi Vyas, Kashif Shah2021 · 133 citations
  55. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
  56. NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, et al.2023 · 130 citations
  57. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataFindings of the Association for Computational LinguisticsKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
  58. Function Vectors in Large Language ModelsarXiv:2310.15213Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.2023 · 127 citations
  59. Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and SentimentAnnual Meeting of the Association for Computational Linguistics (ACL)Byron C. Wallace, Do Kook Choe, Eugene Charniak2015 · 123 citations
  60. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
  61. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
  62. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 121 citations
  63. A Latent Variable Recurrent Neural Network for Discourse-Driven Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein2016 · 121 citations
  64. Compositional Exemplars for In-context LearningarXiv:2302.05698Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, et al.2023 · 120 citations
  65. Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.2023 · 116 citations
  66. MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
  67. Ground-Truth Labels Matter: A Deeper Look into Input-Label DemonstrationsConference on Empirical Methods in Natural Language Processing (EMNLP)Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, et al.2022 · 114 citations
  68. ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningarXiv:2111.10952Vamsi Aribandi, Yi Tay, Tal Schuster, et al.2021 · 114 citations
  69. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  70. EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt OptimizersarXiv:2309.08532Qingyan Guo, Rui Wang, Junliang Guo, et al.2023 · 111 citations
  71. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 106 citations
  72. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsarXiv:2304.14402Minghao Wu, Abdul Waheed, Chiyu Zhang, et al.2023 · 105 citations
  73. Tokenizer Choice For LLM Training: Negligible or Crucial?Findings of the Association for Computational LinguisticsMehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 104 citations
  74. Reducing Sentiment Bias in Language Models via Counterfactual EvaluationarXiv:1911.03064Po-Sen Huang, Huan Zhang, Ray Jiang, et al.2019 · 104 citations
  75. Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational ApplicationsComputational LinguisticsFarah Benamara, Maite Taboada, Yannick Mathieu2017 · 104 citations
  76. Parallel Context Windows for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nir Ratner, Yoav Levine, Yonatan Belinkov, et al.2023 · 102 citations
  77. What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task LearningFindings of the Association for Computational LinguisticsJane Pan, Tianyu Gao, Howard Chen, et al.2023 · 102 citations
  78. Certified Robustness to Text Adversarial Attacks by Randomized [MASK]Computational LinguisticsJiehang Zeng, Jianhan Xu, Xiaoqing Zheng, et al.2023 · 101 citations
  79. Dataless Knowledge Fusion by Merging Weights of Language ModelsarXiv:2212.09849Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, et al.2022 · 101 citations
  80. Rationale-Augmented Ensembles in Language ModelsarXiv:2207.00747Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 101 citations
  81. Probing Across Time: What Does RoBERTa Know and When?Findings of the Association for Computational LinguisticsLeo Z. Liu, Yizhong Wang, Jungo Kasai, et al.2021 · 96 citations
  82. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  83. Interpreting Neural Networks to Improve Politeness ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP)Malika Aubakirova, Mohit Bansal2016 · 87 citations
  84. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
  85. Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.2022 · 85 citations
  86. Formalizing and Benchmarking Prompt Injection Attacks and DefensesarXiv:2310.12815Yupei Liu, Yuqi Jia, Runpeng Geng, et al.2023 · 84 citations
  87. In-Context Unlearning: Language Models as Few Shot UnlearnersarXiv:2310.07579Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju2023 · 81 citations
  88. Mitigating Label Biases for In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yifan Hou, Zeming Chen, et al.2023 · 80 citations
  89. Finding Support Examples for In-Context LearningFindings of the Association for Computational LinguisticsXiaonan Li, Xipeng Qiu2023 · 78 citations
  90. Learning in the Rational Speech Acts ModelarXiv:1510.06807Will Monroe, Christopher Potts2015 · 78 citations
  91. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
  92. Annotation Error Detection: Analyzing the Past and Present for a More Coherent FutureJan-Christoph Klie, Bonnie Webber, Iryna Gurevych2023 · 73 citations
  93. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations
  94. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 67 citations
  95. A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining ModelsArabic Natural Language Processing Workshop (WANLP)Ramy Baly, Gilbert Badaro, Georges El-Khoury, et al.2017 · 67 citations
  96. Idiom Token Classification using Sentential Distributed SemanticsAnnual Meeting of the Association for Computational Linguistics (ACL)Giancarlo Salton, Robert Ross, John Kelleher2016 · 65 citations
  97. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
  98. Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and HumansComputational LinguisticsAndrew Lampinen2024 · 63 citations
  99. Exploring Different Dimensions of Attention for Uncertainty DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Heike Adel, Hinrich Schütze2017 · 63 citations
  100. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations

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