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Who cites Tolga Bolukbasi

4,441 citations of their works from 4,232 papers of our library (of the 149,439 whose bibliographies we read) · 1,076 with a page here, the most cited first · page 1 of 11 · 1–100 · ← Tolga Bolukbasi

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  1. GPT-4 Technical ReportarXiv:2303.08774OpenAI, Josh Achiam, Steven Adler, et al.2023 · 13,036 citations
  2. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  3. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  4. A Survey on Bias and Fairness in Machine LearningACM Computing SurveysNinareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.2019 · 5,638 citations
  5. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
  6. Sparks of Artificial General Intelligence: Early experiments with GPT-4arXiv:2303.12712Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,439 citations
  7. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsarXiv:2402.03300Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,115 citations
  8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  9. Language (Technology) is Power: A Critical Survey of “Bias” in NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,716 citations
  10. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  11. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  12. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  13. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
  14. Gender Bias in Coreference Resolution: Evaluation and Debiasing MethodsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2018 · 1,202 citations
  15. StereoSet: Measuring stereotypical bias in pretrained language modelsAnnual Meeting of the Association for Computational Linguistics (ACL)Moin Nadeem, Anna Bethke, Siva Reddy2021 · 1,141 citations
  16. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhonearXiv:2404.14219Marah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,134 citations
  17. SemEval-2018 Task 1: Affect in TweetsInternational Workshop on Semantic Evaluation (SemEval)Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,094 citations
  18. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  19. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsConference on Empirical Methods in Natural Language Processing (EMNLP)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2017 · 1,050 citations
  20. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
  21. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  22. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
  23. MMBench: Is Your Multi-modal Model an All-around Player?Lecture notes in computer scienceYuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 942 citations
  24. Gender Bias in Coreference ResolutionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.2018 · 864 citations
  25. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
  26. On Measuring Social Biases in Sentence EncodersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chandler May, Alex Wang, Shikha Bordia, et al.2019 · 769 citations
  27. The Woman Worked as a Babysitter: On Biases in Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.2019 · 764 citations
  28. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkConference on Neural Information Processing Systems (NeurIPS)Yubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 761 citations
  29. SGLang: Efficient Execution of Structured Language Model ProgramsConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 729 citations
  30. Mitigating Gender Bias in Natural Language Processing: Literature ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Tony Sun, Andrew Gaut, Shirlyn Tang, et al.2019 · 724 citations
  31. Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Saffron Huang, Francis Song, et al.2022 · 700 citations
  32. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsarXiv:2406.12793Team GLM, Aohan Zeng, Bin Xu, et al.2024 · 691 citations
  33. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelarXiv:2201.11990Shaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 615 citations
  34. Evaluating Gender Bias in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer2019 · 593 citations
  35. Measuring Bias in Contextualized Word RepresentationsWorkshop on Gender Bias in Natural Language ProcessingKeita Kurita, Nidhi Vyas, Ayush Pareek, et al.2019 · 590 citations
  36. Racial Bias in Hate Speech and Abusive Language Detection DatasetsWorkshop on Abusive Language OnlineThomas Davidson, Debasmita Bhattacharya, Ingmar Weber2019 · 583 citations
  37. Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsJoint Conference on Lexical and Computational Semantics (*SEM)Svetlana Kiritchenko, Saif Mohammad2018 · 579 citations
  38. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
  39. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersarXiv:2408.03314Charlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 567 citations
  40. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
  41. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  42. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
  43. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  44. Learning Gender-Neutral Word EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.2018 · 520 citations
  45. Gender Bias in Contextualized Word EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2019 · 508 citations
  46. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  47. Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.2020 · 488 citations
  48. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  49. Cultural Bias and Cultural Alignment of Large Language ModelsarXiv:2311.14096 · PNAS Nexus, Volume 3, Issue 9, September 2024, pgae346Yan Tao, Olga Viberg, Ryan S. Baker, et al.2023 · 470 citations
  50. Reducing Gender Bias in Abusive Language DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Ji Ho Park, Jamin Shin, Pascale Fung2018 · 470 citations
  51. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
  52. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 456 citations
  53. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  54. FinGPT: Open-Source Financial Large Language ModelsarXiv:2306.06031Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  55. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
  56. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 427 citations
  57. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  58. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove ThemConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hila Gonen, Yoav Goldberg2019 · 416 citations
  59. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
  60. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
  61. Social Biases in NLP Models as Barriers for Persons with DisabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, et al.2020 · 404 citations
  62. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 400 citations
  63. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  64. Gender Bias in Neural Natural Language ProcessingLecture notes in computer scienceKaiji Lu, Piotr Mardziel, Fangjing Wu, et al.2018 · 397 citations
  65. German's Next Language ModelInternational Conference on Computational Linguistics (COLING)Branden Chan, Stefan Schweter, Timo Möller2020 · 385 citations
  66. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
  67. Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich MorphologyAnnual Meeting of the Association for Computational Linguistics (ACL)Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.2019 · 376 citations
  68. JW300: A Wide-Coverage Parallel Corpus for Low-Resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Željko Agić, Ivan Vulić2019 · 374 citations
  69. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
  70. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructarXiv:2308.09583Haipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 372 citations
  71. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
  72. Identifying and Reducing Gender Bias in Word-Level Language ModelsarXiv:1904.03035Shikha Bordia, Samuel R. Bowman2019 · 367 citations
  73. Adversarial Removal of Demographic Attributes from Text DataConference on Empirical Methods in Natural Language Processing (EMNLP)Yanai Elazar, Yoav Goldberg2018 · 359 citations
  74. Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsKellie Webster, Marta Recasens, Vera Axelrod, et al.2018 · 358 citations
  75. SnapKV: LLM Knows What You are Looking for Before GenerationConference on Neural Information Processing Systems (NeurIPS)Yuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 355 citations
  76. RobBERT: a Dutch RoBERTa-based Language ModelarXiv:2001.06286Pieter Delobelle, Thomas Winters, Bettina Berendt2020 · 349 citations
  77. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 335 citations
  78. Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Thomas Manzini, Lim Yao Chong, Alan W Black, et al.2019 · 334 citations
  79. Empowering Biomedical Discovery with AI AgentsarXiv:2404.02831Shanghua Gao, Ada Fang, Yepeng Huang, et al.2024 · 333 citations
  80. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
  81. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  82. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
  83. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  84. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 311 citations
  85. Multimodal Chain-of-Thought Reasoning in Language ModelsarXiv:2302.00923Zhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 308 citations
  86. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
  87. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  88. Challenges and Strategies in Cross-Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 292 citations
  89. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  90. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLecture notes in computer scienceLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 279 citations
  91. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 277 citations
  92. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 273 citations
  93. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  94. Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Dinan, Angela Fan, Adina Williams, et al.2020 · 270 citations
  95. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  96. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  97. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
  98. Evaluating the Underlying Gender Bias in Contextualized Word EmbeddingsWorkshop on Gender Bias in Natural Language ProcessingChristine Basta, Marta R. Costa-jussà, Noe Casas2019 · 266 citations
  99. OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsConference on Neural Information Processing Systems (NeurIPS)Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.2024 · 264 citations
  100. The Effect of Sampling Temperature on Problem Solving in Large Language ModelsFindings of the Association for Computational LinguisticsMatthew Renze2024 · 263 citations

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