Kalai, Adam Tauman

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V., & Kalai, A. (2016) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 1,615

Noise-tolerant learning, the parity problem, and the statistical query model

Blum, A., Kalai, A., & Wasserman, H. (2003) · Journal of the ACM

Machine Learning and AlgorithmsComplexity and Algorithms in Graphs

Cited by 598

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · arXiv

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 337

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 337

Beating the hold-out: bounds for K-fold and progressive cross-validation

Blum, A., Kalai, A., & Langford, J. (1999) · Proceedings of the twelfth annual conference on Computational learning theory

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 265

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Aher, G., Arriaga, R. I., & Kalai, A. T. (2022) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 161

Textbooks Are All You Need

Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 138

Noise-tolerant learning, the parity problem, and the statistical query model

Blum, A., Kalai, A., & Wasserman, H. (2000) · Proceedings of the thirty-second annual ACM symposium on Theory of computing

Machine Learning and AlgorithmsComplexity and Algorithms in Graphs

Cited by 128

Calibrated Language Models Must Hallucinate

Kalai, A. T., & Vempala, S. S. (2024) · Proceedings of the 56th Annual ACM Symposium on Theory of Computing

Topic ModelingNatural Language Processing Techniques

Cited by 91

Calibrated Language Models Must Hallucinate

Kalai, A. T., & Vempala, S. S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 90

On Suggesting Phrases vs. Predicting Words for Mobile Text Composition

Arnold, K. C., Gajos, K. Z., & Kalai, A. T. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 69

OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 50

Why Language Models Hallucinate

Kalai, A. T., Nachum, O., Vempala, S. S., & Zhang, E. (2025) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 45

Do Language Models Know When They’re Hallucinating References?

Agrawal, A., Suzgun, M., Mackey, L., & Kalai, A. (2024) · Findings of the Association for Computational Linguistics: EACL 2024

Topic ModelingMisinformation and Its Impacts

Cited by 37

Do Language Models Know When They’re Hallucinating References?

Agrawal, A., Suzgun, M., Mackey, L., & Kalai, A. T. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 37

Language Models Can Teach Themselves to Program Better

Haluptzok, P., Bowers, M., & Kalai, A. T. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 19

Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models

Prihar, E., Lee, M., Hopman, M., Kalai, A. T., Vempala, S., Wang, A., Wickline, G., Murray, A., & Heffernan, N. (2023) · Communications in Computer and Information Science

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 18

Testing Language Model Agents Safely in the Wild

Naihin, S., Atkinson, D., Green, M., Hamadi, M., Swift, C., Schonholtz, D., Kalai, A. T., & Bau, D. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 4

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Zelikman, E., Lorch, E., Mackey, L., & Kalai, A. T. (2023) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 4

Programming Puzzles

Schuster, T., Kalyan, A., Polozov, O., & Kalai, A. T. (2021) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 2