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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 4 of 19 · 301–400 · ← Christopher E. Potts

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  1. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 390 citations
  2. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsarXiv:2308.11462Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 389 citations
  3. CMMLU: Measuring massive multitask language understanding in ChinesearXiv:2306.09212Haonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 387 citations
  4. Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 385 citations
  5. Query Rewriting in Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 384 citations
  6. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
  7. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  8. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 382 citations
  9. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
  10. From Paraphrase Database to Compositional Paraphrase Model and BackTransactions of the Association for Computational Linguistics (TACL)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2015 · 379 citations
  11. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningarXiv:2305.12295Liangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 374 citations
  12. A Latent Variable Model Approach to PMI-based Word EmbeddingsTransactions of the Association for Computational Linguistics (TACL)Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.2016 · 372 citations
  13. Improving Lexical Embeddings with Semantic KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Mo Yu, Mark Dredze2014 · 371 citations
  14. Political Ideology Detection Using Recursive Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.2014 · 370 citations
  15. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
  16. Orca: Progressive Learning from Complex Explanation Traces of GPT-4arXiv:2306.02707Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 369 citations
  17. The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsWorkshop on Generation, Evaluation and Metrics (GEM)Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.2021 · 369 citations
  18. Revisiting Few-sample BERT Fine-tuningarXiv:2006.05987Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 368 citations
  19. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
  20. 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
  21. 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
  22. The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Barbara Plank2022 · 364 citations
  23. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackarXiv:2302.12813Baolin Peng, Michel Galley, Pengcheng He, et al.2023 · 363 citations
  24. HotFlip: White-Box Adversarial Examples for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Javid Ebrahimi, Anyi Rao, Daniel Lowd, et al.2018 · 363 citations
  25. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 362 citations
  26. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Shengding Hu, Ning Ding, Huadong Wang, et al.2022 · 362 citations
  27. 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
  28. Varieties of conventional implicatureSemantics and PragmaticsElin McCready2010 · 359 citations
  29. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
  30. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!arXiv:2310.03693Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 355 citations
  31. TinyLlama: An Open-Source Small Language ModelarXiv:2401.02385Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 352 citations
  32. Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 350 citations
  33. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  34. Representation Learning for Text-level Discourse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Yangfeng Ji, Jacob Eisenstein2014 · 346 citations
  35. Are Emergent Abilities of Large Language Models a Mirage?Conference on Neural Information Processing Systems (NeurIPS)Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 342 citations
  36. WARP: Word-level Adversarial ReProgrammingarXiv:2101.00121Karen Hambardzumyan, Hrant Khachatrian, Jonathan May2021 · 340 citations
  37. 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
  38. 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
  39. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
  40. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
  41. SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Tian, Can Gao, Xinyan Xiao, et al.2020 · 333 citations
  42. 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
  43. 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
  44. Language Is Not All You Need: Aligning Perception with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 330 citations
  45. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  46. 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
  47. Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
  48. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  49. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
  50. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  51. The Fact Extraction and VERification (FEVER) Shared TaskFact Extraction and VERification Workshop (FEVER)James Thorne, Andreas Vlachos, Oana Cocarascu, et al.2018 · 322 citations
  52. Distant Supervision for Relation Extraction beyond the Sentence BoundaryConference of the European Chapter of the Association for Computational Linguistics (EACL)Chris Quirk, Hoifung Poon2017 · 321 citations
  53. Paraphrasing Revisited with Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jonathan Mallinson, Rico Sennrich, Mirella Lapata2017 · 321 citations
  54. Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)Annual Meeting of the Association for Computational Linguistics (ACL)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 320 citations
  55. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  56. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  57. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsarXiv:2311.16079Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 315 citations
  58. 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
  59. Explainable Automated Fact-Checking for Public Health ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP)Neema Kotonya, Francesca Toni2020 · 314 citations
  60. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
  61. Social Simulacra: Creating Populated Prototypes for Social Computing SystemsarXiv:2208.04024Joon Sung Park, Lindsay Popowski, Carrie J. Cai, et al.2022 · 310 citations
  62. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
  63. 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
  64. 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
  65. 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
  66. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  67. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
  68. 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
  69. 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
  70. Do Multi-Sense Embeddings Improve Natural Language Understanding?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2015 · 304 citations
  71. Character-LLM: A Trainable Agent for Role-PlayingConference on Empirical Methods in Natural Language Processing (EMNLP)Yunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 303 citations
  72. 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
  73. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTMAnnual Meeting of the Association for Computational Linguistics (ACL)Ivan Habernal, Iryna Gurevych2016 · 303 citations
  74. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  75. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  76. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  77. Style Transformer: Unpaired Text Style Transfer without Disentangled Latent RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Dai, Jianze Liang, Xipeng Qiu, et al.2019 · 301 citations
  78. Towards Debiasing Fact Verification ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.2019 · 301 citations
  79. Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 300 citations
  80. 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
  81. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  82. 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
  83. Easy Victories and Uphill Battles in Coreference ResolutionGreg Durrett, Dan Klein2013 · 293 citations
  84. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  85. Challenges and Strategies in Cross-Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 292 citations
  86. 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
  87. 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
  88. Computational Sociolinguistics: A SurveyComputational LinguisticsDong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.2016 · 288 citations
  89. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  90. Cloze-driven Pretraining of Self-attention NetworksarXiv:1903.07785Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.2019 · 286 citations
  91. Metaphor as a Medium for Emotion: An Empirical StudyJoint Conference on Lexical and Computational Semantics (*SEM)Saif Mohammad, Ekaterina Shutova, Peter Turney2016 · 286 citations
  92. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 285 citations
  93. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  94. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 285 citations
  95. 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
  96. 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
  97. Scoring Coreference Partitions of Predicted Mentions: A Reference ImplementationSameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al.2014 · 284 citations
  98. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsarXiv:2303.10420Junjie Ye, Xuanting Chen, Nuo Xu, et al.2023 · 283 citations
  99. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
  100. 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

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