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Christopher E. Potts — all works

270 works · page 1 of 3 · 1–100 · ← Christopher E. Potts

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  1. Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Alex Perelygin, Jean Wu, et al.2013 · 9,138 citations
  2. A large annotated corpus for learning natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Gabor Angeli, Christopher Potts, et al.2015 · 5,299 citations
  3. Learning Word Vectors for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.2011 · 4,333 citations
  4. The Logic of Conventional Implicatures ↗Oxford University Press (book) · no summary yetChristopher Potts2005 · 1,401 citations
  5. A logic for conventional implicatures ↗Oxford University Press eBooks · no summary yetChristopher E. Potts2004 · 908 citations
  6. The expressive dimension ↗Theoretical Linguistics · no summary yetChristopher Potts2007 · 789 citations
  7. 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
  8. Dynabench: Rethinking Benchmarking in NLP ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetDouwe Kiela et al.2021 · 482 citations
  9. No country for old members ↗International World Wide Web Conference (WWW) · no summary yetCristian Danescu-Niculescu-Mizil et al.2013 · 342 citations
  10. A Fast Unified Model for Parsing and Sentence Understanding ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSamuel R. Bowman et al.2016 · 323 citations
  11. Perspective-shifting with appositives and expressives ↗Linguistics and Philosophy · no summary yetJesse A. Harris, Christopher E. Potts2009 · 263 citations
  12. Exploiting Social Network Structure for Person-to-Person Sentiment Analysis ↗Transactions of the Association for Computational Linguistics · no summary yetRobert West et al.2014 · 224 citations
  13. 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
  14. Did It Happen? The Pragmatic Complexity of Veridicality AssessmentComputational LinguisticsMarie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts2012 · 202 citations
  15. MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetZexuan Zhong et al.2023 · 199 citations
  16. Affective Demonstratives and the Division of Pragmatic Labor ↗Lecture notes in computer science · no summary yetChristopher Michael Davis, Christopher E. Potts2010 · 195 citations
  17. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJon Saad-Falcon et al.2024 · 191 citations
  18. Crowdsourcing and language studies: the new generation of linguistic data ↗Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk · no summary yetRobert Munro et al.2010 · 179 citations
  19. Recursive Neural Networks Can Learn Logical Semantics ↗Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality · no summary yetSamuel R. Bowman, Christopher Potts, Christopher D. Manning2015 · 167 citations
  20. The Life and Death of Discourse Entities: Identifying Singleton MentionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Marta Recasens, Marie-Catherine de Marneffe, Christopher Potts2013 · 166 citations
  21. The syntax and semantics of As-parentheticals ↗Natural Language & Linguistic Theory · no summary yetChristopher E. Potts2002 · 159 citations
  22. 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
  23. The Pragmatic Values of Evidential Sentences ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher Michael Davis, Christopher E. Potts, Margaret Speas2007 · 154 citations
  24. Causal Abstractions of Neural Networks ↗arXiv:2106.02997 · no summary yetAtticus Geiger et al.2021 · 151 citations
  25. A computational approach to politeness with application to social factorsAnnual Meeting of the Association for Computational Linguistics (ACL)Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al.2013 · 141 citations
  26. Into the Conventional‐Implicature Dimension ↗Philosophy Compass · no summary yetChristopher E. Potts2007 · 141 citations
  27. Embedded implicatures as pragmatic inferences under compositional lexical uncertainty ↗Journal of Semantics 33(4):755–802 · no summary yetChristopher Potts et al.2016 · 139 citations
  28. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher PottsEnglish · 123 citations
  29. Relevance-guided Supervision for OpenQA with ColBERTTransactions of the Association for Computational Linguistics (TACL)Omar Khattab, Christopher Potts, Matei Zaharia2021 · 121 citations
  30. The Lexical Semantics of Parenthical‐as and Appositive‐which ↗Syntax · no summary yetChristopher E. Potts2002 · 115 citations
  31. GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAgrawal, Lakshya A et al.2025 · 111 citations
  32. Expressives and Identity Conditions ↗Linguistic Inquiry · no summary yetChristopher E. Potts et al.2009 · 109 citations
  33. Japanese Honorifics as Emotive Definite Descriptions ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher E. Potts, Shigeto Kawahara2004 · 107 citations
  34. DynaSent: A Dynamic Benchmark for Sentiment Analysis ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetChristopher Potts et al.2021 · 103 citations
  35. Pragmatically Informative Image Captioning with Character-Level InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2018 · 103 citations
  36. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
  37. Model theory and the content of OT constraints ↗Phonology · no summary yetChristopher E. Potts, Geoffrey K. Pullum2002 · 94 citations
  38. Mapping the Increasing Use of LLMs in Scientific Papers ↗arXiv:2404.01268 · no summary yetWeixin Liang et al.2024 · 89 citations
  39. Conventional Implicatures: A Distinguished Class of Meanings ↗Oxford University Press eBooks · no summary yetChristopher E. Potts2007 · 86 citations
  40. The centrality of expressive indices ↗Theoretical Linguistics · no summary yetChristopher E. Potts2007 · 84 citations
  41. Quantifying large language model usage in scientific papers ↗Nature Human Behaviour · no summary yetWeixin Liang et al.2025 · 81 citations
  42. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
  43. Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations ↗arXiv:2303.02536 · no summary yetAtticus Geiger et al.2023 · 81 citations
  44. TalkDown: A Corpus for Condescension Detection in Context ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetZijian Wang, Christopher Potts2019 · 79 citations
  45. Learning in the Rational Speech Acts ModelarXiv:1510.06807Will Monroe, Christopher Potts2015 · 78 citations
  46. On the negativity of negation ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher E. Potts2010 · 78 citations
  47. The Dimensions of Quotation ↗no summary yetChristopher E. Potts2007 · 78 citations
  48. Text to 3D Scene Generation with Rich Lexical Grounding ↗Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetAngel Chang et al.2015 · 75 citations
  49. ReFT: Representation Finetuning for Language Models ↗arXiv:2404.03592 · no summary yetZhengxuan Wu et al.2024 · 74 citations
  50. Tree-structured composition in neural networks without tree-structured architectures ↗arXiv:1506.04834 · no summary yetSamuel R. Bowman, Christopher D. Manning, Christopher Potts2015 · 73 citations
  51. Bringing Machine Learning and Compositional Semantics Together ↗Annual Review of Linguistics 1:355–376 · no summary yetPercy Liang, Christopher Potts2015 · 73 citations
  52. 7. The narrowing acquisition path ↗Linguistik aktuell · no summary yetChristopher E. Potts, Thomas Roeper2006 · 71 citations
  53. Mission: Impossible Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.2024 · 70 citations
  54. PLAID ↗Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yetKeshav Santhanam et al.2022 · 69 citations
  55. Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability ↗arXiv:2301.04709 · no summary yetAtticus Geiger et al.2023 · 65 citations
  56. Interpretive Economy, Schelling Points, and evolutionary stability ∗ ↗no summary yetChristopher E. Potts2008 · 62 citations
  57. Posing Fair Generalization Tasks for Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Atticus Geiger, Ignacio Cases, Lauri Karttunen, et al.2019 · 61 citations
  58. A data-driven framework for mapping domains of human neurobiology ↗Nature Neuroscience · no summary yetElizabeth Beam et al.2021 · 60 citations
  59. AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders ↗arXiv:2501.17148 · no summary yetZhengxuan Wu et al.2025 · 59 citations
  60. Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking ↗arXiv (Cornell University) · no summary yetZhiyi Ma et al.2021 · 56 citations
  61. Was It Good? It Was Provocative.” Learning the Meaning of Scalar AdjectivesMarie-Catherine de Marneffe, Christopher D. Manning, Christopher PottsEnglish · 56 citations
  62. Representing Social Media Users for Sarcasm DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Y. Alex Kolchinski, Christopher Potts2018 · 54 citations
  63. Inducing Causal Structure for Interpretable Neural Networks ↗arXiv (Cornell University) · no summary yetAtticus Geiger et al.2021 · 53 citations
  64. Mittens: an Extension of GloVe for Learning Domain-Specialized Representations ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetNicholas Dingwall, Christopher Potts2018 · 53 citations
  65. UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJon Saad-Falcon et al.2023 · 52 citations
  66. Emergence of Gricean Maxims from Multi-Agent Decision TheoryConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Adam Vogel, Max Bodoia, Christopher Potts, et al.2013 · 51 citations
  67. The pragmatics of expressive content: Evidence from large corpora ↗no summary yetNoah Constant et al.2009 · 50 citations
  68. Intonational sentence-type conventions for perlocutionary effects: An experimental investigation ↗Proceedings from Semantics and Linguistic Theory · no summary yetSunwoo Jeong, Christopher E. Potts2016 · 49 citations
  69. Data and Representation for Turkish Natural Language Inference ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetEmrah Budur et al.2020 · 46 citations
  70. PLAID: An Efficient Engine for Late Interaction Retrieval ↗arXiv:2205.09707 · no summary yetKeshav Santhanam et al.2022 · 45 citations
  71. Implicatures and Nested Beliefs in Approximate Decentralized-POMDPsAnnual Meeting of the Association for Computational Linguistics (ACL)Adam Vogel, Christopher Potts, Dan Jurafsky2013 · 45 citations
  72. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗arXiv:2311.09476 · no summary yetJon Saad-Falcon et al.2023 · 41 citations
  73. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
  74. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
  75. Demystifying Verbatim Memorization in Large Language Models ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetJing Huang, Diyi Yang, Christopher Potts2024 · 35 citations
  76. RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJing Huang et al.2024 · 35 citations
  77. Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval ↗arXiv (Cornell University) · no summary yetOmar Khattab, Christopher E. Potts, Matei Zaharia2021 · 35 citations
  78. An Incremental Iterated Response Model of PragmaticsProceedings of the Society for Computation in Linguistics (SCiL) 2019Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2019 · 35 citations
  79. Concadia: Towards Image-Based Text Generation with a Purpose ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetElisa Kreiss et al.2022 · 32 citations
  80. Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetElisa Kreiss et al.2022 · 32 citations
  81. Hindsight: Posterior-guided training of retrievers for improved open-ended generation ↗arXiv (Cornell University) · no summary yetAshwin Paranjape et al.2021 · 31 citations
  82. WCCFL 21 : proceedings of the 21st West Coast Conference on Formal Linguistics ↗Cascadilla Press eBooks · no summary yetLine Mikkelsen, Christopher E. Potts2002 · 31 citations
  83. Rigorously Assessing Natural Language Explanations of NeuronsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJing Huang, Atticus Geiger, Karel D'Oosterlinck, et al.2023 · 30 citations
  84. Goal-Driven Answers in the CardsDialogue Corpus ↗no summary yetChristopher E. Potts2012 · 30 citations
  85. Developing Linguistic Theories Using Annotated Corpora ↗Springer eBooks · no summary yetMarie-Catherine de Marneffe, Christopher E. Potts30 citations
  86. CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior ↗arXiv (Cornell University) · no summary yetEldar David Abraham et al.2022 · 29 citations
  87. 94. Conventional implicature and expressive content ↗De Gruyter eBooks · no summary yetChristopher E. Potts2012 · 29 citations
  88. 17. Conventional implicature and expressive content ↗De Gruyter eBooks · no summary yetChristopher E. Potts29 citations
  89. ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJingyuan S. She et al.2023 · 27 citations
  90. Causal Proxy Models for Concept-Based Model Explanations ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2022 · 27 citations
  91. Learning to Generate Compositional Color Descriptions ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetWill Monroe, Noah D. Goodman, Christopher Potts2016 · 27 citations
  92. pyvene: A Library for Understanding and Improving PyTorch Models via Interventions ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2024 · 26 citations
  93. Causal Distillation for Language Models ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetZhengxuan Wu et al.2022 · 25 citations
  94. Corpus Evidence for Preference-Driven Interpretation ↗Lecture notes in computer science · no summary yetAlex J. Djalali, Sven Lauer, Christopher E. Potts2011 · 25 citations
  95. Conversational Implicatures Via General Pragmatic Pressures ↗Lecture notes in computer science · no summary yetChristopher E. Potts2007 · 25 citations
  96. Improving Pretraining Data Using Perplexity Correlations ↗arXiv (Cornell University) · no summary yetTristan Thrush, Christopher E. Potts, Tatsunori Hashimoto2024 · 24 citations
  97. Not a Simple Yes or No: Uncertainty in Indirect AnswersSIGDIAL ConferenceMarie-Catherine de Marneffe, Scott Grimm, Christopher Potts2009 · 23 citations
  98. Predicting perspectival orientation for appositives ↗no summary yetJesse A. Harris, Christopher E. Potts2009 · 23 citations
  99. Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetDilara Soylu, Christopher Potts, Omar Khattab2024 · 22 citations
  100. Systematicity in GPT-3's Interpretation of Novel English Noun Compounds ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetSiyan Li, Riley Carlson, Christopher Potts2022 · 22 citations

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