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Who cites Dorottya Demszky

1,664 citations of their works from 1,595 papers of our library (of the 149,439 whose bibliographies we read) · 303 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Dorottya Demszky

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  1. Language models show human-like content effects on reasoning tasksarXiv:2207.07051Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, et al.2022 · 162 citations
  2. DART: Open-Domain Structured Data Record to Text GenerationarXiv:2007.02871Linyong Nan, Dragomir Radev, Rui Zhang, et al.2020 · 161 citations
  3. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  4. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  5. ProsocialDialog: A Prosocial Backbone for Conversational AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 152 citations
  6. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a SummaryTransactions of the Association for Computational Linguistics (TACL)Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth2021 · 152 citations
  7. Unsolved Problems in ML SafetyarXiv:2109.13916Dan Hendrycks, Nicholas Carlini, John Schulman, et al.2021 · 151 citations
  8. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  9. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhang, Jue Wang, Huan Li, et al.2024 · 148 citations
  10. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  11. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
  12. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
  13. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
  14. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
  15. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
  16. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsarXiv:2309.07875Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 135 citations
  17. Secrets of RLHF in Large Language Models Part I: PPOarXiv:2307.04964Rui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 135 citations
  18. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewAnnual Meeting of the Association for Computational Linguistics (ACL)Jintian Zhang, Xin Xu, Ningyu Zhang, et al.2024 · 134 citations
  19. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal DatasetConference on Neural Information Processing Systems (NeurIPS)Peter Henderson, Mark S. Krass, Lucia Zheng, et al.2022 · 133 citations
  20. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
  21. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
  22. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
  23. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
  24. Med-Flamingo: a Multimodal Medical Few-shot LearnerarXiv:2307.15189Michael Moor, Qian Huang, Shirley Wu, et al.2023 · 116 citations
  25. ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningarXiv:2111.10952Vamsi Aribandi, Yi Tay, Tal Schuster, et al.2021 · 114 citations
  26. PaperQA: Retrieval-Augmented Generative Agent for Scientific ResearcharXiv:2312.07559Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.2023 · 109 citations
  27. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
  28. Inverse Scaling: When Bigger Isn't BetterarXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQFIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 105 citations
  29. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  30. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsarXiv:2310.02949Xianjun Yang, Xiao Wang, Qi Zhang, et al.2023 · 103 citations
  31. Hybrid LLM: Cost-Efficient and Quality-Aware Query RoutingarXiv:2404.14618Dujian Ding, Ankur Mallick, Chi Wang, et al.2024 · 98 citations
  32. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  33. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  34. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesProceedings of the VLDB EndowmentSimran Arora, Brandon Yang, Sabri Eyuboglu, et al.2023 · 94 citations
  35. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
  36. Language Modeling Is CompressionarXiv:2309.10668Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 91 citations
  37. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsConference on Neural Information Processing Systems (NeurIPS)Alexandre Rame, Guillaume Couairon, Mustafa Shukor, et al.2023 · 90 citations
  38. Automatically Auditing Large Language Models via Discrete OptimizationarXiv:2303.04381Erik Jones, Anca Dragan, Aditi Raghunathan, et al.2023 · 89 citations
  39. Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and PredictionComputational LinguisticsEnrica Troiano, Laura Oberländer, Roman Klinger2023 · 89 citations
  40. EmoBench: Evaluating the Emotional Intelligence of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sahand Sabour, Siyang Liu, Zheyuan Zhang, et al.2024 · 88 citations
  41. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
  42. The AI teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialoguesTack2022 · 88 citations
  43. Complex Claim Verification with Evidence Retrieved in the WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 86 citations
  44. Mathematics, word problems, common sense, and artificial intelligencearXiv:2301.09723Ernest Davis2023 · 86 citations
  45. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
  46. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  47. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
  48. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
  49. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
  50. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
  51. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
  52. Analyzing Dataset Annotation Quality Management in the WildComputational LinguisticsJan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych2024 · 76 citations
  53. Measuring Political Bias in Large Language Models: What Is Said and How It Is SaidAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Delong Chen, Nayeon Lee, et al.2024 · 76 citations
  54. Multi-VALUE: A Framework for Cross-Dialectal English NLPCaleb Ziems, William Held, Jingfeng Yang, et al.2023 · 76 citations
  55. The Ghost in the Machine has an American accent: value conflict in GPT-3arXiv:2203.07785Rebecca L Johnson, Giada Pistilli, Natalia Menedez-Gonzalez, et al.2022 · 72 citations
  56. Entailer: Answering Questions with Faithful and Truthful Chains of ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark2022 · 71 citations
  57. LLMs Know More Than They Show: On the Intrinsic Representation of LLM HallucinationsarXiv:2410.02707Hadas Orgad, Michael Toker, Zorik Gekhman, et al.2024 · 68 citations
  58. MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.2025 · 65 citations
  59. Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and HumansComputational LinguisticsAndrew Lampinen2024 · 63 citations
  60. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 63 citations
  61. Large Language Model Agent: A Survey on Methodology, Applications and ChallengesarXiv:2503.21460Junyu Luo, Weizhi Zhang, Ye Yuan, et al.2025 · 62 citations
  62. LAB-Bench: Measuring Capabilities of Language Models for Biology ResearcharXiv:2407.10362Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.2024 · 62 citations
  63. NaturalProver: Grounded Mathematical Proof Generation with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Sean Welleck, Jiacheng Liu, Ximing Lu, et al.2022 · 62 citations
  64. POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online PolarizationFindings of the Association for Computational LinguisticsUsman Naseem, Robert Geislinger, Juan Ren, et al.2026 · 61 citations
  65. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementarXiv:2402.07456Zhiyong Wu, Chengcheng Han, Zichen Ding, et al.2024 · 61 citations
  66. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
  67. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  68. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
  69. 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
  70. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
  71. Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
  72. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
  73. The Learnability of In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Noam Wies, Yoav Levine, Amnon Shashua2023 · 53 citations
  74. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
  75. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersarXiv:2305.14825Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.2023 · 52 citations
  76. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  77. 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
  78. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  79. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
  80. 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
  81. 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
  82. 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
  83. 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
  84. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  85. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataFindings of the Association for Computational LinguisticsMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
  86. 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
  87. 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
  88. 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
  89. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom InstructionarXiv:2306.03090Rose E. Wang, Dorottya Demszky2023 · 36 citations
  90. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
  91. 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
  92. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  93. PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Pengshan Cai, Zonghai Yao, Fei Liu, et al.2023 · 24 citations
  94. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
  95. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
  96. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  97. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
  98. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
  99. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  100. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations

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