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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) · 1,666 with a page here, the most cited first · page 3 of 17 · 201–300 · ← Christopher E. Potts

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  1. Improving Factuality and Reasoning in Language Models through Multiagent DebatearXiv:2305.14325Yilun Du, Shuang Li, Antonio Torralba, et al.2023 · 587 citations
  2. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingConference on Neural Information Processing Systems (NeurIPS)Miles Turpin, Julian Michael, Ethan Perez, et al.2023 · 586 citations
  3. 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 · 583 citations
  4. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationarXiv:1912.02164Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 578 citations
  5. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
  6. 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
  7. Large Language Models Can Self-ImproveConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 575 citations
  8. 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
  9. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  10. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
  11. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  12. TextBugger: Generating Adversarial Text Against Real-world ApplicationsarXiv:1812.05271Jinfeng Li, Shouling Ji, Tianyu Du, et al.2018 · 545 citations
  13. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  14. Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021 · 542 citations
  15. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  16. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  17. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
  18. 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
  19. Breaking NLI Systems with Sentences that Require Simple Lexical InferencesMax Glockner, Vered Shwartz, Yoav Goldberg2018 · 525 citations
  20. Crowdsourcing Multiple Choice Science QuestionsWorkshop on Noisy User-generated TextJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 524 citations
  21. Fact Checking: Task definition and dataset constructionACL Workshop on Language Technologies and Computational Social ScienceAndreas Vlachos, Sebastian Riedel2014 · 524 citations
  22. 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
  23. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
  24. Learning Gender-Neutral Word EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.2018 · 520 citations
  25. Baichuan 2: Open Large-scale Language ModelsarXiv:2309.10305Aiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 517 citations
  26. 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
  27. Recursive Neural Conditional Random Fields for Aspect-based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.2016 · 516 citations
  28. TabFact: A Large-scale Dataset for Table-based Fact VerificationarXiv:1909.02164Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 515 citations
  29. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 514 citations
  30. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  31. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  32. Sentiment Analysis in the Era of Large Language Models: A Reality CheckFindings of the Association for Computational LinguisticsWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 506 citations
  33. Does String-Based Neural MT Learn Source Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP)Xing Shi, Inkit Padhi, Kevin Knight2016 · 504 citations
  34. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 503 citations
  35. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  36. Learning Natural Language Inference with LSTMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shuohang Wang, Jing Jiang2016 · 499 citations
  37. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  38. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  39. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  40. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Abdul-Mageed, Lyle Ungar2017 · 487 citations
  41. 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
  42. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
  43. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 485 citations
  44. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
  45. 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
  46. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  47. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  48. PPT: Pre-trained Prompt Tuning for Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 471 citations
  49. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.2015 · 471 citations
  50. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
  51. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
  52. 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
  53. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  54. Ethical and social risks of harm from Language ModelsarXiv:2112.04359Laura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 456 citations
  55. Bilingual Word Representations with Monolingual Quality in MindWorkshop on Vector Space Modeling for Natural Language ProcessingThang Luong, Hieu Pham, Christopher D. Manning2015 · 456 citations
  56. Inherent Disagreements in Human Textual InferencesEllie Pavlick, Tom Kwiatkowski2019 · 454 citations
  57. 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
  58. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  59. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  60. 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
  61. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  62. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 443 citations
  63. 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
  64. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 437 citations
  65. Are Sixteen Heads Really Better than One?arXiv:1905.10650Paul Michel, Omer Levy, Graham Neubig2019 · 435 citations
  66. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  67. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 432 citations
  68. 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
  69. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsarXiv:2305.08322Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
  70. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  71. MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaao Chen, Zichao Yang, Diyi Yang2020 · 417 citations
  72. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  73. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
  74. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 414 citations
  75. Long Range Arena: A Benchmark for Efficient TransformersarXiv:2011.04006Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2020 · 414 citations
  76. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  77. Mind2Web: Towards a Generalist Agent for the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 413 citations
  78. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Alisa Liu, Maarten Sap, Ximing Lu, et al.2021 · 409 citations
  79. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
  80. How to Fine-Tune BERT for Text Classification?arXiv:1905.05583Chi Sun, Xipeng Qiu, Yige Xu, et al.2019 · 407 citations
  81. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 406 citations
  82. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Miguel Ballesteros, Chris Dyer, Noah A. Smith2015 · 403 citations
  83. Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsarXiv:2305.14233Ning Ding, Yulin Chen, Bokai Xu, et al.2023 · 402 citations
  84. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
  85. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
  86. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  87. Aligning AI With Shared Human ValuesarXiv:2008.02275Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 395 citations
  88. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 395 citations
  89. Linguistic Models for Analyzing and Detecting Biased LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky2013 · 395 citations
  90. Retrieval Augmentation Reduces Hallucination in ConversationarXiv:2104.07567Kurt Shuster, Spencer Poff, Moya Chen, et al.2021 · 392 citations
  91. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 390 citations
  92. 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
  93. CMMLU: Measuring massive multitask language understanding in ChinesearXiv:2306.09212Haonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 387 citations
  94. Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 385 citations
  95. 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
  96. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
  97. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  98. 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
  99. 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
  100. 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

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