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Christopher E. Potts — all works

270 works · page 2 of 3 · 101–200 · ← Christopher E. Potts

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  1. Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetJing Huang et al.2023 · 21 citations
  2. Pragmatic Issue-Sensitive Image CaptioningFindings of the Association for Computational LinguisticsAllen Nie, Reuben Cohn-Gordon, Christopher Potts2020 · 21 citations
  3. Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations ↗Proceedings of the 27th International Conference on Computational Linguistics · no summary yetBen Lengerich, Andrew Maas, Christopher Potts2018 · 21 citations
  4. Modeling Expert Effects and Common Ground Using Questions Under Discussion ↗no summary yetAlex J. Djalali et al.2011 · 21 citations
  5. “Was it good? It was provocative.” ↗Digital Access to Libraries · no summary yetMarie-Catherine de Marneffe et al.2010 · 21 citations
  6. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
  7. Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ↗arXiv (Cornell University) · no summary yetJoshua Rozner, Christopher E. Potts, Kyle Mahowald2021 · 20 citations
  8. A Case for Deep Learning in Semantics: Response to Pater ↗Language · no summary yetChristopher E. Potts2019 · 20 citations
  9. Sentiment expression conditioned by affective transitions and social forces ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetMoritz Sudhof et al.2014 · 20 citations
  10. ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation ↗Transactions of the Association for Computational Linguistics · no summary yetZhengxuan Wu, Christopher D. Manning, Christopher Potts2023 · 19 citations
  11. ReaSCAN: Compositional Reasoning in Language Grounding ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2021 · 19 citations
  12. Relational reasoning and generalization using nonsymbolic neural networks. ↗Psychological Review · no summary yetAtticus Geiger et al.2020 · 19 citations
  13. Recursive Routing Networks: Learning to Compose Modules for Language Understanding ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetIgnacio Cases et al.2019 · 19 citations
  14. CAW-coref: Conjunction-Aware Word-level Coreference ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al.2023 · 17 citations
  15. Lexical Semantics with Large Language Models: A Case Study of English “break”Findings of the Association for Computational LinguisticsErika Petersen, Christopher Potts2023 · 17 citations
  16. Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models ↗arXiv (Cornell University) · no summary yetBen Prystawski et al.2022 · 17 citations
  17. Postmortem memory of public figures in news and social media ↗Proceedings of the National Academy of Sciences · no summary yetRobert West, Jure Leskovec, Christopher E. Potts2021 · 17 citations
  18. Learning Distributed Word Representations for Natural Logic Reasoning ↗arXiv (Cornell University) · no summary yetSamuel R. Bowman, Christopher E. Potts, Christopher D. Manning2014 · 17 citations
  19. Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations ↗Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP · no summary yetRóbert Csordás et al.2024 · 16 citations
  20. In-Context Learning for Extreme Multi-Label Classification ↗arXiv (Cornell University) · no summary yetKarel D’Oosterlinck et al.2024 · 16 citations
  21. Characterizing English Preposing in PP constructions ↗Journal of Linguistics · no summary yetChristopher E. Potts2024 · 16 citations
  22. Effective Feature Representation for Clinical Text Concept Extraction ↗Proceedings of the 2nd Clinical Natural Language Processing Workshop · no summary yetYifeng Tao et al.2019 · 16 citations
  23. BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetKarel D'Oosterlinck et al.2023 · 14 citations
  24. Causal Interventions Reveal Shared Structure Across English Filler–Gap ConstructionsSasha Boguraev, Christopher Potts, Kyle MahowaldEnglish · 13 citations
  25. MoEUT: Mixture-of-Experts Universal Transformers ↗neural information processing systems · no summary yetRóbert Csordás et al.2024 · 12 citations
  26. Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetKeshav Santhanam et al.2023 · 12 citations
  27. Generating Bilingual Pragmatic Color References ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetWill Monroe et al.2018 · 12 citations
  28. Do Language Models Use Their Depth Efficiently? ↗neural information processing systems · no summary yetRóbert Csordás, Christopher D. Manning, Christopher E. Potts2025 · 11 citations
  29. Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering ↗IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yetNandita Shankar Naik, Christopher E. Potts, Elisa Kreiss2023 · 11 citations
  30. Communication-based Evaluation for Natural Language Generation ↗Proceedings of the Society for Computation in Linguistics 2020 · no summary yetBenjamin Newman, Reuben Cohn-Gordon, Christopher Potts2020 · 11 citations
  31. Veridicality and Utterance Understanding ↗IEEE International Conference on Semantic Computing (ICSC) · no summary yetMarie-Catherine de Marneffe, Christopher D. Manning, Christopher E. Potts2011 · 11 citations
  32. Harmonic Grammar with linear programming: from linear systems to linguistic typology. Phonology ↗no summary yetChristopher E. Potts et al.2010 · 11 citations
  33. DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines ↗arXiv (Cornell University) · no summary yetArnav Singhvi et al.2023 · 10 citations
  34. How far can pragmatic mechanisms take us? ↗Theoretical Linguistics · no summary yetChristopher E. Potts2006 · 10 citations
  35. Improved Representation Steering for Language Models ↗neural information processing systems · no summary yetZhengxuan Wu et al.2025 · 9 citations
  36. MrT5: Dynamic Token Merging for Efficient Byte-level Language Models ↗arXiv (Cornell University) · no summary yetJulie Kallini et al.2024 · 9 citations
  37. On the Effective Use of Pretraining for Natural Language Inference ↗arXiv (Cornell University) · no summary yetIgnacio Cases, Minh-Thang Luong, Christopher E. Potts2017 · 9 citations
  38. Conversational implicature: interacting with grammar ↗no summary yetChristopher E. Potts, Stanford Linguistics2013 · 9 citations
  39. False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetJulie Kallini et al.2025 · 8 citations
  40. Base Models Beat Aligned Models at Randomness and Creativity ↗arXiv (Cornell University) · no summary yetWest, Peter, Christopher E. Potts2025 · 8 citations
  41. MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Houjun Liu, John Bauer, Karel D'Oosterlinck, et al.2024 · 8 citations
  42. Building efficient and effective OpenQA systems for low-resource languages ↗Knowledge-Based Systems · no summary yetEmrah Budur et al.2024 · 8 citations
  43. I am a Strange Dataset: Metalinguistic Tests for Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTristan Thrush et al.2024 · 8 citations
  44. Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models ↗Proceedings of the 7th Workshop on Representation Learning for NLP · no summary yetZhengxuan Wu, Nelson F. Liu, Christopher Potts2022 · 8 citations
  45. Enculturation Trajectories: Language, Cultural Adaptation, and Individual Outcomes in Organizations ↗SSRN Electronic Journal · no summary yetSameer B. Srivastava et al.2015 · 8 citations
  46. \textttpyvene: A Library for Understanding and Improving PyTorch Models via Interventions ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations) · no summary yetZhengxuan Wu et al.2024 · 7 citations
  47. The Pragmatic Values of Evidential Sentences ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher Michael Davis, Christopher E. Potts, Margaret Speas2015 · 7 citations
  48. Japanese Honorifics as Emotive Definite Descriptions ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher E. Potts, Shigeto Kawahara2015 · 6 citations
  49. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments ↗arXiv (Cornell University) · no summary yetZhengxuan Wu et al.2024 · 5 citations
  50. Updating CLIP to Prefer Descriptions Over Captions ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetAmir Zur et al.2024 · 5 citations
  51. Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetDaniel Sosa et al.2023 · 5 citations
  52. Multi-teacher Distillation for Multilingual Spelling Correction ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetJingfen Zhang et al.2023 · 5 citations
  53. Comparative economy conditions in natural language syntax ↗no summary yetChristopher E. Potts2002 · 5 citations
  54. ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring ↗Lecture notes in computer science · no summary yetKaili Huang et al.2025 · 4 citations
  55. HyperSteer: Activation Steering at Scale with Hypernetworks ↗arXiv (Cornell University) · no summary yetSun, Jiuding et al.2025 · 4 citations
  56. HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks ↗arXiv (Cornell University) · no summary yetJiuding Sun et al.2025 · 4 citations
  57. Invisible failures in human-AI interactions ↗arXiv (Cornell University) · no summary yetChristopher E. Potts, Moritz Sudhof2026 · 3 citations
  58. Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors ↗arXiv (Cornell University) · no summary yetHuang, Jing et al.2025 · 3 citations
  59. AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetDante Everaert et al.2024 · 3 citations
  60. Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels ↗arXiv (Cornell University) · no summary yetJasper Xian et al.2024 · 3 citations
  61. GIO: Gradient Information Optimization for Training Dataset Selection ↗arXiv (Cornell University) · no summary yetDante Everaert, Christopher E. Potts2023 · 3 citations
  62. ContextRef: Evaluating Referenceless Metrics For Image Description Generation ↗arXiv (Cornell University) · no summary yetElisa Kreiss et al.2023 · 3 citations
  63. On the negativity of negation ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher E. Potts2015 · 3 citations
  64. Language models as tools for investigating the distinction between possible and impossible natural languages ↗Behavioral and Brain Sciences · no summary yetJulie Kallini, Christopher E. Potts2026 · 2 citations
  65. Blackbox Model Provenance via Palimpsestic Membership Inference ↗neural information processing systems · no summary yetRohith Kuditipudi et al.2025 · 2 citations
  66. Bayesian scaling laws for in-context learning ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2024 · 2 citations
  67. CommVQA: Situating Visual Question Answering in Communicative Contexts ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetNandita Shankar Naik, Christopher Potts, Elisa Kreiss2024 · 2 citations
  68. Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives ↗Proceedings of the 24th Conference on Computational Natural Language Learning · no summary yetElisa Kreiss, Zijian Wang, Christopher Potts2020 · 2 citations
  69. A layered semantics for utterance modifiers ↗no summary yetChristopher E. Potts2003 · 2 citations
  70. Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization ↗arXiv (Cornell University) · no summary yetCamila Blank et al.2026 · 1 citation
  71. Counterfactual Simulation Training for Chain-of-Thought Faithfulness ↗arXiv (Cornell University) · no summary yetPeter Hase, Christopher E. Potts2026 · 1 citation
  72. Fast Byte Latent Transformer ↗arXiv (Cornell University) · no summary yetJulie Kallini et al.2026 · 1 citation
  73. Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning ↗arXiv (Cornell University) · no summary yetQinan Yu et al.2026 · 1 citation
  74. Mechanistic evaluation of Transformers and state space models ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2025 · 1 citation
  75. Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models ↗arXiv (Cornell University) · no summary yetAlexa R. Tartaglini et al.2025 · 1 citation
  76. Composing Policy Gradients and Prompt Optimization for Language Model Programs ↗arXiv (Cornell University) · no summary yetNoah Ziems et al.2025 · 1 citation
  77. Retrieval Augmented Spelling Correction for E-Commerce Applications ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetXuan Guo et al.2024 · 1 citation
  78. Color Overmodification Emerges from Data-Driven Learning and Pragmatic ReasoningarXiv:2205.09172Fei Fang, Kunal Sinha, Noah D. Goodman, et al.2022 · 1 citation
  79. A probabilistic pragmatics for English singular some ↗Proceedings from Semantics and Linguistic Theory · no summary yetLewis Esposito, Christopher E. Potts2021 · 1 citation
  80. Learning Compositional Negation in Populations of Roth-Erev and Neural Agents ↗arXiv (Cornell University) · no summary yetGraham Todd, Shane Steinert‐Threlkeld, Christopher E. Potts2020 · 1 citation
  81. A computational knowledge engine for human neuroscience ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetElizabeth Beam et al.2019 · 1 citation
  82. Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints ↗arXiv (Cornell University) · no summary yetBruno Godefroy, Christopher E. Potts2019 · 1 citation
  83. A case for deep learning in semantics ↗arXiv (Cornell University) · no summary yetChristopher E. Potts2018 · 1 citation
  84. Multi-Dimensional Sentiment Analysis with Learned Representations ↗no summary yetAndrew L. Maas, Andrew Ng, Christopher E. Potts2012 · 1 citation
  85. Expressive content as conventional implicature ↗no summary yetChristopher E. Potts2003 · 1 citation
  86. What we should do is blame do ↗no summary yetChristopher E. Potts2001 · 1 citation
  87. Do Language Models Consistently Encode the Current Year? ↗arXiv (Cornell University) · no summary yetSuze van Adrichem et al.2026
  88. Matryoshka attribution: Learning to attribute language model outputs to representations and weights ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2026
  89. Transcoder Adapters for Reasoning-Model Diffing ↗arXiv (Cornell University) · no summary yetNathan Hu et al.2026
  90. Verbalizing Subliminal Learning Effects Using Text Optimization ↗arXiv (Cornell University) · no summary yetNathan Hu, Sanmi Koyejo, Christopher E. Potts2026
  91. Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention ↗arXiv (Cornell University) · no summary yetJing Huang et al.2026
  92. PreFT: Prefill-only finetuning for efficient inference ↗arXiv (Cornell University) · no summary yetAndrew Lanpouthakoun et al.2026
  93. A paradox of AI fluency ↗arXiv (Cornell University) · no summary yetChristopher E. Potts, Moritz Sudhof2026
  94. Synthetic Data for any Differentiable Target ↗arXiv (Cornell University) · no summary yetTristan Thrush et al.2026
  95. Document Optimization for Black-Box Retrieval via Reinforcement Learning ↗arXiv (Cornell University) · no summary yetOmri Uzan et al.2026
  96. Mechanistic interpretability and control for language models ↗Stanford Digital Repository · no summary yetZhengxuan Wu et al.2026
  97. Taming and leveraging inconsistencies in pretrained language models ↗Stanford Digital Repository · no summary yetTianyi Zhang et al.2026
  98. Structured Prompts Improve Evaluation of Language Models ↗arXiv (Cornell University) · no summary yetAsad Aali et al.2025
  99. What Makes Large Language Models Interpret Context-Free Cross-Lingual Novel Idioms? ↗Stanford Digital Repository · no summary yetRagupathi, Anjali, Christopher E. Potts, Judith Degen2025
  100. CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models ↗arXiv (Cornell University) · no summary yetVerma, Arnav et al.2025

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