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Who cites Adam Tauman Kalai

1,943 citations of their works from 1,931 papers of our library (of the 140,884 whose bibliographies we read) · 140 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Adam Tauman Kalai

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  1. GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,694 citations
  2. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
  3. A Survey on Bias and Fairness in Machine LearningNinareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.2019 · 5,622 citations
  4. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
  5. Sparks of Artificial General Intelligence: Early experiments with GPT-4Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,389 citations
  6. Language (Technology) is Power: A Critical Survey of “Bias” in NLPSu Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,700 citations
  7. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
  8. LaMDA: Language Models for Dialog ApplicationsRomal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,314 citations
  9. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
  10. Gender Bias in Coreference Resolution: Evaluation and Debiasing MethodsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2018 · 1,186 citations
  11. StereoSet: Measuring stereotypical bias in pretrained language modelsMoin Nadeem, Anna Bethke, Siva Reddy2021 · 1,131 citations
  12. SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,092 citations
  13. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,072 citations
  14. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2017 · 1,030 citations
  15. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
  16. Gender Bias in Coreference ResolutionRachel Rudinger, Jason Naradowsky, Brian Leonard, et al.2018 · 852 citations
  17. On Measuring Social Biases in Sentence EncodersChandler May, Alex Wang, Shikha Bordia, et al.2019 · 761 citations
  18. The Woman Worked as a Babysitter: On Biases in Language GenerationEmily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.2019 · 751 citations
  19. Mitigating Gender Bias in Natural Language Processing: Literature ReviewTony Sun, Andrew Gaut, Shirlyn Tang, et al.2019 · 716 citations
  20. Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 665 citations
  21. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelShaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 595 citations
  22. Evaluating Gender Bias in Machine TranslationGabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer2019 · 588 citations
  23. Measuring Bias in Contextualized Word RepresentationsKeita Kurita, Nidhi Vyas, Ayush Pareek, et al.2019 · 584 citations
  24. Racial Bias in Hate Speech and Abusive Language Detection DatasetsThomas Davidson, Debasmita Bhattacharya, Ingmar Weber2019 · 577 citations
  25. Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsSvetlana Kiritchenko, Saif Mohammad2018 · 574 citations
  26. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
  27. Learning Gender-Neutral Word EmbeddingsJieyu Zhao, Yichao Zhou, Zeyu Li, et al.2018 · 512 citations
  28. Gender Bias in Contextualized Word EmbeddingsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2019 · 503 citations
  29. Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionShauli Ravfogel, Yanai Elazar, Hila Gonen, et al.2020 · 480 citations
  30. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
  31. Reducing Gender Bias in Abusive Language DetectionJi Ho Park, Jamin Shin, Pascale Fung2018 · 464 citations
  32. GeDi: Generative Discriminator Guided Sequence GenerationBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 444 citations
  33. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsMatthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 431 citations
  34. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  35. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove ThemHila Gonen, Yoav Goldberg2019 · 412 citations
  36. Social Biases in NLP Models as Barriers for Persons with DisabilitiesBen Hutchinson, Vinodkumar Prabhakaran, Emily Denton, et al.2020 · 402 citations
  37. Gender Bias in Neural Natural Language ProcessingKaiji Lu, Piotr Mardziel, Fangjing Wu, et al.2018 · 394 citations
  38. Representation Engineering: A Top-Down Approach to AI TransparencyAndy Zou, Long Phan, Sarah Chen, et al.2023 · 386 citations
  39. German's Next Language ModelBranden Chan, Stefan Schweter, Timo Möller2020 · 385 citations
  40. JW300: A Wide-Coverage Parallel Corpus for Low-Resource LanguagesŽeljko Agić, Ivan Vulić2019 · 373 citations
  41. Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich MorphologyRan Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.2019 · 371 citations
  42. Identifying and Reducing Gender Bias in Word-Level Language ModelsShikha Bordia, Samuel R. Bowman2019 · 363 citations
  43. Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsKellie Webster, Marta Recasens, Vera Axelrod, et al.2018 · 358 citations
  44. Adversarial Removal of Demographic Attributes from Text DataYanai Elazar, Yoav Goldberg2018 · 357 citations
  45. RobBERT: a Dutch RoBERTa-based Language ModelPieter Delobelle, Thomas Winters, Bettina Berendt2020 · 346 citations
  46. Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word EmbeddingsThomas Manzini, Lim Yao Chong, Alan W Black, et al.2019 · 332 citations
  47. Text and Code Embeddings by Contrastive Pre-TrainingArvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 316 citations
  48. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 305 citations
  49. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
  50. Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.2023 · 297 citations
  51. Challenges and Strategies in Cross-Cultural NLPDaniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 290 citations
  52. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
  53. Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationEmily Dinan, Angela Fan, Adina Williams, et al.2020 · 265 citations
  54. Evaluating the Underlying Gender Bias in Contextualized Word EmbeddingsChristine Basta, Marta R. Costa-jussà, Noe Casas2019 · 264 citations
  55. Towards Understanding and Mitigating Social Biases in Language ModelsPaul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 263 citations
  56. Towards Debiasing Sentence RepresentationsPaul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 259 citations
  57. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualHe He, Sheng Zha, Haohan Wang2019 · 254 citations
  58. Measuring and Reducing Gendered Correlations in Pre-trained ModelsKellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 252 citations
  59. Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsRishi Bommasani, Kelly Davis, Claire Cardie2020 · 248 citations
  60. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  61. Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingOshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021 · 238 citations
  62. Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language ModelsMyra Cheng, Esin Durmus, Dan Jurafsky2023 · 236 citations
  63. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language TechnologiesSunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.2021 · 228 citations
  64. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
  65. Accelerating scientific discovery with Co-ScientistJuraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.2025 · 212 citations
  66. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsNicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
  67. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLPTimo Schick, Sahana Udupa, Hinrich Schutze2021 · 207 citations
  68. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsXiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
  69. LIMO: Less is More for ReasoningYixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
  70. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
  71. Contextualizing Hate Speech Classifiers with Post-hoc ExplanationBrendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.2020 · 203 citations
  72. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and OverviewDeven Shah, H. Andrew Schwartz, Dirk Hovy2019 · 201 citations
  73. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?Yang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
  74. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemDanielle Saunders, Bill Byrne2020 · 196 citations
  75. Auto-Debias: Debiasing Masked Language Models with Automated Biased PromptsYue Guo, Yi Yang, Ahmed Abbasi2022 · 191 citations
  76. HONEST: Measuring Hurtful Sentence Completion in Language ModelsDebora Nozza, Federico Bianchi, Dirk Hovy2021 · 190 citations
  77. Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense DisambiguationDaniel Loureiro, Alípio Jorge2019 · 189 citations
  78. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  79. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  80. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  81. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  82. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
  83. Debiasing Pre-trained Contextualised EmbeddingsMasahiro Kaneko, Danushka Bollegala2021 · 174 citations
  84. Towards Controllable Biases in Language GenerationEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2020 · 166 citations
  85. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetEric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 165 citations
  86. Sustainable Modular Debiasing of Language ModelsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  87. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  88. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  89. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsJunyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 150 citations
  90. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
  91. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildWeihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
  92. Process Reinforcement through Implicit RewardsGanqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
  93. Measuring short-form factuality in large language modelsJason Wei, Nguyen Karina, Hyung Won Chung, et al.2024 · 147 citations
  94. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingXinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  95. UNQOVERing Stereotyping Biases via Underspecified QuestionsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 144 citations
  96. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningHuatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
  97. Toward Gender-Inclusive Coreference ResolutionYang Trista Cao, Hal Daumé III2020 · 125 citations
  98. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryPrateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
  99. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearchYutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025 · 121 citations
  100. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceYonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 121 citations

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