Xie, Sang Michael

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

Holistic Evaluation of Language Models

Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 255

An Explanation of In-context Learning as Implicit Bayesian Inference

Xie, S. M., Raghunathan, A., Liang, P., & Ma, T. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 138

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Jean, N., Xie, S. M., & Ermon, S. (2018) · arXiv

Gaussian Processes and Bayesian InferenceMachine Learning and Algorithms

Cited by 49

Reward Design with Language Models

Kwon, M., Xie, S. M., Bullard, K., & Sadigh, D. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 45

Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning

Wei, C., Xie, S. M., & Ma, T. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 32

A Survey on Data Selection for Language Models

Albalak, A., Elazar, Y., Xie, S. M., Longpre, S., Lambert, N., Wang, X., Muennighoff, N., Hou, B., Pan, L., Jeong, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12