Beutel, Alex

The Case for Learned Index Structures

Kraska, T., Beutel, A., Chi, E. H., Dean, J., & Polyzotis, N. (2018) · Proceedings of the 2018 International Conference on Management of Data

Advanced Database Systems and QueriesAlgorithms and Data Compression

Cited by 956

HealthBench: Evaluating Large Language Models Towards Improved Human Health

Arora, R. K., Wei, J., Hicks, R. S., Bowman, P., Quiñonero-Candela, J., Tsimpourlas, F., Sharman, M., Shah, M., Vallone, A., Beutel, A., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 654

Underspecification Presents Challenges for Credibility in Modern Machine Learning

D'Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 398

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks

Beutel, A., Xu, W., Guruswami, V., Palow, C., & Faloutsos, C. (2013) · Proceedings of the 22nd international conference on World Wide Web

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 335

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Hooi, B., Song, H. A., Beutel, A., Shah, N., Shin, K., & Faloutsos, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 305

Measuring and Reducing Gendered Correlations in Pre-trained Models

Webster, K., Wang, X., Tenney, I., Beutel, A., Pitler, E., Pavlick, E., Chen, J., Chi, E., & Petrov, S. (2020) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 195

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

CatchSync: catching synchronized behavior in large directed graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 151

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Beutel, A., Chen, J., Doshi, T., Qian, H., Woodruff, A., Luu, C., Kreitmann, P., Bischof, J., & Chi, E. H. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 111

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · ACM Transactions on Knowledge Discovery from Data

Complex Network Analysis TechniquesSpam and Phishing Detection

Cited by 88

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2014) · Lecture Notes in Computer Science

Complex Network Analysis TechniquesGraph theory and applications

Cited by 82

Beyond Globally Optimal: Focused Learning for Improved Recommendations

Beutel, A., Chi, E. H., Cheng, Z., Pham, H., & Anderson, J. (2017) · Proceedings of the 26th International Conference on World Wide Web

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 73

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

Inferring lockstep behavior from connectivity pattern in large graphs

Jiang, M., Cui, P., Beutel, A., Faloutsos, C., & Yang, S. (2016) · Knowledge and Information Systems

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 43

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Rule Based Rewards for Language Model Safety

Mu, T., Helyar, A., Heidecke, J., Achiam, J., Vallone, A., Kivlichan, I., Lin, M., Beutel, A., Schulman, J., & Weng, L. (2024) · Advances in Neural Information Processing Systems 37

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 14

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Wallace, E., Xiao, K., Leike, R., Weng, L., Heidecke, J., & Beutel, A. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 14