Koyejo, Sanmi

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,857

A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2024) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 738

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 662

Are Emergent Abilities of Large Language Models a Mirage?

Schaeffer, R., Miranda, B., & Koyejo, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 200

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.

Drukker, K., Chen, W., Gichoya, J. W., Gruszauskas, N. P., Kalpathy-Cramer, J., Koyejo, S., Myers, K. J., Sá, R. C., Sahiner, B., Whitney, H. M., et al. (2023) · Journal of Medical Imaging

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 149

Best-of-N Jailbreaking

Hughes, J., Price, S., Lynch, A., Schaeffer, R., Barez, F., Koyejo, S., Sleight, H., Jones, E., Perez, E., & Sharma, M. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 129

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 110

The Leaderboard Illusion

Singh, S., Nan, Y., Wang, A., D'Souza, D., Kapoor, S., Üstün, A., Koyejo, S., Deng, Y., Longpre, S., Smith, N. A., et al. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 108

DecodingTrust: A comprehensive assessment of trustworthiness in GPT models

Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · Advances in Neural Information Processing Systems 36

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 107

Representation Engineering: A Top-Down Approach to AI Transparency

Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., et al. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 65

SycEval: Evaluating LLM Sycophancy

Fanous, A., Goldberg, J., Agarwal, A. A., Lin, J., Zhou, A., Daneshjou, R., & Koyejo, S. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 62

SycEval: Evaluating LLM Sycophancy

Fanous, A., Goldberg, J., Agarwal, A., Lin, J., Zhou, A., Xu, S., Bikia, V., Daneshjou, R., & Koyejo, S. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AITopic Modeling

Cited by 62

Zeno++: Robust Fully Asynchronous SGD

Xie, C., Koyejo, S., & Gupta, I. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 60

Holistic evaluation of large language models for medical tasks with MedHELM

Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

SLSGD: Secure and Efficient Distributed On-device Machine Learning

Xie, C., Koyejo, S., & Gupta, I. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 46

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells

Schaeffer, R., Khona, M., Ma, T., Eyzaguirre, C., Koyejo, S., & Fiete, I. (2023) · Advances in Neural Information Processing Systems 36

Memory and Neural MechanismsSpatial Cognition and Navigation

Cited by 27

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Sun, Y., Li, X., Dalal, K., Xu, J., Vikram, A., Zhang, G., Dubois, Y., Chen, X., Wang, X., Koyejo, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Gerstgrasser, M., Schaeffer, R., Dey, A., Rafailov, R., Sleight, H., Hughes, J., Korbak, T., Agrawal, R., Pai, D., Gromov, A., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 15

Collapse or thrive? perils and promises of synthetic data in a self-generating world

Kazdan, J., Schaeffer, R., Dey, A., Gerstgrasser, M., Rafailov, R., Donoho, D. L., & Koyejo, S. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 4

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Akhtar, M., Reuel, A., Soni, P., Ahuja, S., Ammanamanchi, P. S., Rawal, R., Zouhar, V., Yadav, S., Whitehouse, C., Ki, D., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Quantifying Variance in Evaluation Benchmarks

Madaan, L., Singh, A. K., Schaeffer, R., Poulton, A., Koyejo, S., Stenetorp, P., Narang, S., & Hupkes, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Schaeffer, R., Schoelkopf, H., Miranda, B., Mukobi, G., Madan, V., Ibrahim, A., Bradley, H., Biderman, S., & Koyejo, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

End-to-End Test-Time Training for Long Context

Tandon, A., Dalal, K., Li, X., Koceja, D., Rød, M., Buchanan, S., Wang, X., Leskovec, J., Koyejo, S., Hashimoto, T., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Stop Automating Peer Review Without Rigorous Evaluation

Baumann, J., Pei, J., Koyejo, S., & Hovy, D. (2026) · arXiv

Publishing and Scholarly CommunicationEthics and Social Impacts of AI

Cited by 0