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Who cites Christopher E. Potts

11,943 citations of their works from 9,352 papers of our library (of the 149,439 whose bibliographies we read) · 1,871 with a page here, the most cited first · page 5 of 19 · 401–500 · ← Christopher E. Potts

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  1. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity AnnotationAnnual Meeting of the Association for Computational Linguistics (ACL)Svetlana Kiritchenko, Saif Mohammad2017 · 283 citations
  2. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations
  3. 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
  4. Compositional Vector Space Models for Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Arvind Neelakantan, Benjamin Roth, Andrew McCallum2015 · 281 citations
  5. ONION: A Simple and Effective Defense Against Textual Backdoor AttacksConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Mukai Li, et al.2021 · 280 citations
  6. 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
  7. TRUE: Re-evaluating Factual Consistency EvaluationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Or Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 279 citations
  8. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 277 citations
  9. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP)Ari Holtzman, Peter West, Vered Shwartz, et al.2021 · 277 citations
  10. 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
  11. Text Classification Using Label Names Only: A Language Model Self-Training ApproachConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.2020 · 274 citations
  12. Zero-Shot Transfer Learning for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lifu Huang, Heng Ji, Kyunghyun Cho, et al.2018 · 273 citations
  13. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 272 citations
  14. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
  15. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  16. 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
  17. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsarXiv:2306.16388Esin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 270 citations
  18. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 270 citations
  19. 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
  20. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
  21. Predictability and Surprise in Large Generative ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT)Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.2022 · 268 citations
  22. When Are Tree Structures Necessary for Deep Learning of Representations?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Thang Luong, Dan Jurafsky, et al.2015 · 267 citations
  23. An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
  24. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly SupervisedConference on Empirical Methods in Natural Language Processing (EMNLP)Stefanos Angelidis, Mirella Lapata2018 · 266 citations
  25. A Holistic Approach to Undesired Content Detection in the Real WorldProceedings of the AAAI Conference on Artificial IntelligenceTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 263 citations
  26. How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Annual Meeting of the Association for Computational Linguistics (ACL)Tal Linzen2020 · 263 citations
  27. CODRA: A Novel Discriminative Framework for Rhetorical AnalysisComputational LinguisticsShafiq Joty, Giuseppe Carenini, Raymond T. Ng2015 · 263 citations
  28. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  29. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
  30. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsFindings of the Association for Computational LinguisticsPouya Pezeshkpour, Estevam Hruschka2023 · 261 citations
  31. UKP-Athene: Multi-Sentence Textual Entailment for Claim VerificationFact Extraction and VERification Workshop (FEVER)Andreas Hanselowski, Hao Zhang, Zile Li, et al.2018 · 261 citations
  32. 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
  33. A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP)Ye Zhang, Byron Wallace2017 · 260 citations
  34. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 259 citations
  35. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglisharXiv:2110.00976Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 258 citations
  36. Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 258 citations
  37. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersFindings of the Association for Computational LinguisticsDamai Dai, Yutao Sun, Li Dong, et al.2023 · 257 citations
  38. The Multilingual Amazon Reviews CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Phillip Keung, Yichao Lu, György Szarvas, et al.2020 · 257 citations
  39. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
  40. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
  41. Conversations Gone Awry: Detecting Early Signs of Conversational FailureAnnual Meeting of the Association for Computational Linguistics (ACL)Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al.2018 · 255 citations
  42. Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 255 citations
  43. Generating Datasets with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schutze2021 · 254 citations
  44. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  45. 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
  46. Entity-Centric Coreference Resolution with Model StackingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Christopher D. Manning2015 · 253 citations
  47. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentarXiv:2304.06767Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 252 citations
  48. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyConference on Neural Information Processing Systems (NeurIPS)Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 251 citations
  49. A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Vanessa Wei Feng, Graeme Hirst2014 · 251 citations
  50. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 250 citations
  51. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityarXiv:2301.12867Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 249 citations
  52. Learning and Evaluating General Linguistic IntelligencearXiv:1901.11373Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, et al.2019 · 248 citations
  53. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 245 citations
  54. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 244 citations
  55. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
  56. Argumentation Mining in User-Generated Web DiscourseComputational LinguisticsIvan Habernal, Iryna Gurevych2017 · 243 citations
  57. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
  58. Charagram: Embedding Words and Sentences via Character n-gramsConference on Empirical Methods in Natural Language Processing (EMNLP)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2016 · 242 citations
  59. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformancearXiv:2305.05176Lingjiao Chen, Matei Zaharia, James Zou2023 · 241 citations
  60. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations
  61. Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
  62. 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
  63. 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
  64. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionarXiv:2302.12173Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 239 citations
  65. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.2022 · 239 citations
  66. FUDGE: Controlled Text Generation With Future DiscriminatorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kevin Yang, Dan Klein2021 · 239 citations
  67. Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Fanchao Qi, Mukai Li, Yangyi Chen, et al.2021 · 238 citations
  68. The Importance of Modeling Social Factors of Language: Theory and PracticeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dirk Hovy, Diyi Yang2021 · 238 citations
  69. 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
  70. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
  71. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  72. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionConference on Neural Information Processing Systems (NeurIPS)Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 236 citations
  73. Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsTransactions of the Association for Computational Linguistics (TACL)Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.2017 · 236 citations
  74. Politeness Transfer: A Tag and Generate ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020 · 235 citations
  75. Evaluating Commonsense in Pre-trained Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXuhui Zhou, Yue Zhang, Leyang Cui, et al.2019 · 235 citations
  76. Better Document-level Sentiment Analysis from RST Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein2015 · 235 citations
  77. 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
  78. Evaluating Open-Domain Question Answering in the Era of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ehsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
  79. Steering Language Models With Activation EngineeringarXiv:2308.10248Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al.2023 · 233 citations
  80. Learning to Deceive with Attention-Based ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.2020 · 233 citations
  81. GAIA: a benchmark for General AI AssistantsarXiv:2311.12983Gregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 232 citations
  82. Beyond neural scaling laws: beating power law scaling via data pruningConference on Neural Information Processing Systems (NeurIPS)Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 231 citations
  83. Self-critiquing models for assisting human evaluatorsarXiv:2206.05802William Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 228 citations
  84. 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
  85. 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
  86. Towards Multimodal Sarcasm Detection (An \textitObviously Perfect Paper)Annual Meeting of the Association for Computational Linguistics (ACL)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 228 citations
  87. The Importance of Being Recurrent for Modeling Hierarchical StructureConference on Empirical Methods in Natural Language Processing (EMNLP)Ke Tran, Arianna Bisazza, Christof Monz2018 · 228 citations
  88. Sparse Overcomplete Word Vector RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.2015 · 228 citations
  89. A Survey of Hallucination in Large Foundation ModelsarXiv:2309.05922Vipula Rawte, Amit Sheth, Amitava Das2023 · 226 citations
  90. Learning to Faithfully Rationalize by ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 225 citations
  91. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
  92. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
  93. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
  94. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeConference on Neural Information Processing Systems (NeurIPS)Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 222 citations
  95. 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
  96. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
  97. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  98. Measuring Association Between Labels and Free-Text RationalesConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 220 citations
  99. Transforming Question Answering Datasets Into Natural Language Inference DatasetsarXiv:1809.02922Dorottya Demszky, Kelvin Guu, Percy Liang2018 · 220 citations
  100. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations

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