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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 11 of 19 · 1001–1100 · ← Christopher E. Potts

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  1. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
  2. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
  3. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 59 citations
  4. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  5. SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yige Xu, Xu Guo, Zhiwei Zeng, et al.2025 · 58 citations
  6. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
  7. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in ChinchillaarXiv:2307.09458Tom Lieberum, Matthew Rahtz, Janos Kramar, et al.2023 · 58 citations
  8. What Does My QA Model Know? Devising Controlled Probes Using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL)Kyle Richardson, Ashish Sabharwal2020 · 58 citations
  9. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
  10. Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackarXiv:2303.05453Hannah Rose Kirk, Bertie Vidgen, Paul Rottger, et al.2023 · 57 citations
  11. SuperCLUE: A Comprehensive Chinese Large Language Model BenchmarkarXiv:2307.15020Liang Xu, Anqi Li, Lei Zhu, et al.2023 · 57 citations
  12. Teaching Arithmetic to Small TransformersarXiv:2307.03381Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, et al.2023 · 57 citations
  13. Augmenting English Adjective Senses with SupersensesLanguage Resources and Evaluation Conference (LREC)Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, et al.2014 · 57 citations
  14. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
  15. Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsConference on Neural Information Processing Systems (NeurIPS)Eric Zelikman, Qian Huang, Gabriel Poesia, et al.2023 · 56 citations
  16. Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on RobustnessConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ivan Sanchez, Jeff Mitchell, Sebastian Riedel2018 · 56 citations
  17. Was It Good? It Was Provocative.” Learning the Meaning of Scalar AdjectivesMarie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts2010 · 56 citations
  18. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
  19. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
  20. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
  21. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Alon Jacovi, Yonatan Bitton, Bernd Bohnet, et al.2024 · 54 citations
  22. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  23. CMB: A Comprehensive Medical Benchmark in ChinesearXiv:2308.08833Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.2023 · 54 citations
  24. Harnessing the linguistic signal to predict scalar inferencesSebastian Schuster, Yuxing Chen, Judith Degen2020 · 54 citations
  25. Representing Social Media Users for Sarcasm DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Y. Alex Kolchinski, Christopher Potts2018 · 54 citations
  26. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
  27. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
  28. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
  29. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
  30. Language acquisition: do children and language models follow similar learning stages?arXiv:2306.03586Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 53 citations
  31. The Learnability of In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Noam Wies, Yoav Levine, Amnon Shashua2023 · 53 citations
  32. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
  33. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersarXiv:2305.14825Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.2023 · 52 citations
  34. Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsarXiv:2410.21272Yaniv Nikankin, Anja Reusch, Aaron Mueller, et al.2024 · 51 citations
  35. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
  36. VariErr NLI: Separating Annotation Error from Human Label VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.2024 · 51 citations
  37. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
  38. ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 51 citations
  39. Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWorkshop on Insights from Negative Results in NLPWilliam Huang, Haokun Liu, Samuel R. Bowman2020 · 51 citations
  40. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackConference on Neural Information Processing Systems (NeurIPS)Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.2024 · 50 citations
  41. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
  42. The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct RepresentationLanguage Resources and Evaluation Conference (LREC)Maja Pavlovic, Massimo Poesio2024 · 49 citations
  43. Word Embeddings Are Steers for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Han, Jialiang Xu, Manling Li, et al.2024 · 49 citations
  44. From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and InterpretationComputational LinguisticsMarianna Apidianaki2023 · 49 citations
  45. Verum focus is verum, not focus: Cross-linguistic evidenceGlossa a journal of general linguisticsDaniel Gutzmann, Katharina Hartmann, Lisa Matthewson2020 · 49 citations
  46. Annotation Guidelines for Questions under Discussion and Information StructureArndt Riester, Lisa Brunetti, Kordula De Kuthy2018 · 49 citations
  47. Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse LearningInternational Conference on Computational Linguistics (COLING)Fengyu Guo, Ruifang He, Di Jin, et al.2018 · 49 citations
  48. Universal Dependencies Parsing for Colloquial Singaporean EnglishHongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.2017 · 49 citations
  49. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  50. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  51. Linguistic ambiguity analysis in ChatGPTarXiv:2302.06426Miguel Ortega-Martin, Oscar Garcia-Sierra, Alfonso Ardoiz, et al.2023 · 48 citations
  52. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  53. A Neural Entity Coreference Resolution ReviewExpert Systems with Applications, Volume 168, 15 April 2021, 114,466Nikolaos Stylianou, Ioannis Vlahavas2019 · 48 citations
  54. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  55. Metaphor Understanding Challenge Dataset for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
  56. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  57. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  58. “According to . . . “: Prompting Language Models Improves Quoting from Pre-Training DataConference of the European Chapter of the Association for Computational Linguistics (EACL)Orion Weller, Marc Marone, Nathaniel Weir, et al.2024 · 46 citations
  59. Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaan Wang, Yunlong Liang, Zengkui Sun, et al.2024 · 45 citations
  60. GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local RefinementsarXiv:2402.10963Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.2024 · 45 citations
  61. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  62. Implicatures and Nested Beliefs in Approximate Decentralized-POMDPsAnnual Meeting of the Association for Computational Linguistics (ACL)Adam Vogel, Christopher Potts, Dan Jurafsky2013 · 45 citations
  63. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  64. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
  65. Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsComputational LinguisticsJanosch Haber, Massimo Poesio2024 · 44 citations
  66. SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and ImplicaturearXiv:1506.02306Shibamouli Lahiri2015 · 44 citations
  67. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
  68. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  69. SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
  70. A Mention-Ranking Model for Abstract Anaphora ResolutionAna Marasović, Leo Born, Juri Opitz, et al.2017 · 43 citations
  71. SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language ModelsarXiv:2311.08370Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al.2023 · 42 citations
  72. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
  73. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  74. Syntax-augmented Multilingual BERT for Cross-lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.2021 · 42 citations
  75. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
  76. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
  77. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  78. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
  79. Character-Aware Neural Networks for Arabic Named Entity Recognition for Social MediaInternational Conference on Computational Linguistics (COLING)Mourad Gridach2016 · 41 citations
  80. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
  81. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
  82. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  83. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  84. Frustrated, Polite, or Formal: Quantifying Feelings and Tone in EmailInternational Conference on Computational Linguistics (COLING)Niyati Chhaya, Kushal Chawla, Tanya Goyal, et al.2018 · 40 citations
  85. Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment AnalysisAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Bita Nejat, Giuseppe Carenini, Raymond Ng2017 · 40 citations
  86. Weasels, Hedges and Peacocks: Discourse-level Uncertainty in Wikipedia ArticlesInternational Joint Conference on Natural Language Processing (IJCNLP)Veronika Vincze2013 · 40 citations
  87. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
  88. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  89. Facilitating the Communication of Politeness through Fine-Grained ParaphrasingLiye Fu, Susan Fussell, Cristian Danescu-Niculescu-Mizil2020 · 39 citations
  90. Arc-swift: A Novel Transition System for Dependency ParsingPeng Qi, Christopher D. Manning2017 · 39 citations
  91. Natural Language Inference from Multiple PremisesInternational Joint Conference on Natural Language Processing (IJCNLP)Alice Lai, Yonatan Bisk, Julia Hockenmaier2017 · 39 citations
  92. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
  93. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
  94. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  95. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP)El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.2023 · 38 citations
  96. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
  97. Identifying inherent disagreement in natural language inferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xinliang Frederick Zhang, Marie-Catherine de Marneffe2021 · 38 citations
  98. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
  99. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Kartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
  100. Aligning Large Language Models with Human Preferences through Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Liu, Xiaohua Wang, Muling Wu, et al.2024 · 37 citations

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