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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 10 of 17 · 901–1000 · ← Christopher E. Potts

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  1. Linguistic ambiguity analysis in ChatGPTarXiv:2302.06426Miguel Ortega-Martin, Oscar Garcia-Sierra, Alfonso Ardoiz, et al.2023 · 48 citations
  2. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  3. A Neural Entity Coreference Resolution ReviewExpert Systems with Applications, Volume 168, 15 April 2021, 114,466Nikolaos Stylianou, Ioannis Vlahavas2019 · 48 citations
  4. 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
  5. 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
  6. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  7. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  8. “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
  9. 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
  10. 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
  11. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  12. Implicatures and Nested Beliefs in Approximate Decentralized-POMDPsAnnual Meeting of the Association for Computational Linguistics (ACL)Adam Vogel, Christopher Potts, Dan Jurafsky2013 · 45 citations
  13. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  14. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
  15. Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsComputational LinguisticsJanosch Haber, Massimo Poesio2024 · 44 citations
  16. SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and ImplicaturearXiv:1506.02306Shibamouli Lahiri2015 · 44 citations
  17. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
  18. 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
  19. SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
  20. A Mention-Ranking Model for Abstract Anaphora ResolutionAna Marasović, Leo Born, Juri Opitz, et al.2017 · 43 citations
  21. 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
  22. 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
  23. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  24. 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
  25. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
  26. 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
  27. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  28. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
  29. Character-Aware Neural Networks for Arabic Named Entity Recognition for Social MediaInternational Conference on Computational Linguistics (COLING)Mourad Gridach2016 · 41 citations
  30. 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
  31. 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
  32. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  33. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  34. 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
  35. 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
  36. Weasels, Hedges and Peacocks: Discourse-level Uncertainty in Wikipedia ArticlesInternational Joint Conference on Natural Language Processing (IJCNLP)Veronika Vincze2013 · 40 citations
  37. 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
  38. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  39. Facilitating the Communication of Politeness through Fine-Grained ParaphrasingLiye Fu, Susan Fussell, Cristian Danescu-Niculescu-Mizil2020 · 39 citations
  40. Arc-swift: A Novel Transition System for Dependency ParsingPeng Qi, Christopher D. Manning2017 · 39 citations
  41. Natural Language Inference from Multiple PremisesInternational Joint Conference on Natural Language Processing (IJCNLP)Alice Lai, Yonatan Bisk, Julia Hockenmaier2017 · 39 citations
  42. 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
  43. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
  44. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  45. 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
  46. 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
  47. 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
  48. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
  49. 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
  50. 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
  51. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceConference on Computational Natural Language Learning (CoNLL)Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 37 citations
  52. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified SentencesarXiv:1810.13033Atticus Geiger; Ignacio Cases; Lauri Karttunen;, Christopher Potts2018 · 37 citations
  53. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
  54. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 36 citations
  55. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoningZilong Zheng, Shuwen Qiu, Lifeng Fan, et al.2021 · 36 citations
  56. Intonation, <i>yes</i> and <i>no</i>Glossa a journal of general linguisticsDaniel Goodhue, Michael Wagner2018 · 36 citations
  57. LAiW: A Chinese Legal Large Language Models BenchmarkInternational Conference on Computational Linguistics (COLING)Yongfu Dai, Duanyu Feng, Jimin Huang, et al.2025 · 35 citations
  58. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
  59. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
  60. LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsComputational LinguisticsGözde Gül Şahin, Clara Vania, Ilia Kuznetsov, et al.2020 · 35 citations
  61. An Incremental Iterated Response Model of PragmaticsProceedings of the Society for Computation in Linguistics (SCiL) 2019Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2019 · 35 citations
  62. Arabizi sentiment analysis based on transliteration and automatic corpus annotationWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisImane Guellil, Ahsan Adeel, Faical Azouaou, et al.2018 · 35 citations
  63. RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Yifan Luo, Dingling Xu, et al.2025 · 34 citations
  64. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language ModelsarXiv:2411.07140Yancheng He, Shilong Li, Jiaheng Liu, et al.2024 · 34 citations
  65. Computational Politeness in Natural Language Processing: A SurveyACM Computing SurveysPriyanshu Priya, Mauajama Firdaus, Asif Ekbal2024 · 34 citations
  66. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
  67. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  68. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 citations
  69. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictFindings of the Association for Computational LinguisticsYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citations
  70. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
  71. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations
  72. Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL)Hitomi Yanaka, Koji Mineshima2022 · 33 citations
  73. OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based ModelInternational Workshop on Semantic Evaluation (SemEval)Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.2017 · 33 citations
  74. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  75. Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
  76. RST Discourse Parsing with Second-Stage EDU-Level Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Nan Yu, Meishan Zhang, Guohong Fu, et al.2022 · 32 citations
  77. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
  78. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
  79. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
  80. Planning, Inference and Pragmatics in Sequential Language GamesTransactions of the Association for Computational Linguistics (TACL)Fereshte Khani, Noah D. Goodman, Percy Liang2018 · 31 citations
  81. Benchmarking Machine Translated Sentiment Analysis for Arabic TweetsConference of the North American Chapter of the Association for Computational Linguistics: Student Research WorkshopEshrag Refaee, Verena Rieser2015 · 31 citations
  82. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
  83. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
  84. Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature AttributionsarXiv:2307.13339Skyler Wu, Eric Meng Shen, Charumathi Badrinath, et al.2023 · 30 citations
  85. 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
  86. The Quantization Model of Neural ScalingarXiv:2303.13506Eric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 30 citations
  87. A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsImad Lakim, Ebtesam Almazrouei, Ibrahim Abualhaol, et al.2022 · 30 citations
  88. Evaluating Document Coherence ModelingTransactions of the Association for Computational Linguistics (TACL)Aili Shen, Meladel Mistica, Bahar Salehi, et al.2021 · 30 citations
  89. MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Christine Herlihy, Rachel Rudinger2021 · 30 citations
  90. BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Aina Garí Soler, Marianna Apidianaki2020 · 30 citations
  91. Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guangya Wan, Yuqi Wu, Jie Chen, et al.2025 · 29 citations
  92. Click: Controllable Text Generation with Sequence Likelihood Contrastive LearningFindings of the Association for Computational LinguisticsChujie Zheng, Pei Ke, Zheng Zhang, et al.2023 · 29 citations
  93. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
  94. TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse LanguagesFindings of the Association for Computational LinguisticsAnirudh Srinivasan, Eunsol Choi2022 · 29 citations
  95. Syntax Role for Neural Semantic Role LabelingComputational LinguisticsZuchao Li, Hai Zhao, Shexia He, et al.2021 · 29 citations
  96. TED-Q: TED Talks and the Questions they EvokeLanguage Resources and Evaluation Conference (LREC)Matthijs Westera, Laia Mayol, Hannah Rohde2020 · 29 citations
  97. A deep-learning framework to detect sarcasm targetsConference on Empirical Methods in Natural Language Processing (EMNLP)Jasabanta Patro, Srijan Bansal, Animesh Mukherjee2019 · 29 citations
  98. From Shakespeare to Twitter: What are Language Styles all about?Wei Xu2017 · 29 citations
  99. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  100. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations

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