Jiao, Jiantao

Theoretically principled trade-off between robustness and accuracy

Zhang, H., Yu, Y., Jiao, J., Xing, E. P., Ghaoui, L. E., & Jordan, M. I. (2019) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1,560

Fine-Tuning Language Models with Advantage-Induced Policy Alignment

Zhu, B., Sharma, H., Frujeri, F. V., Dong, S., Zhu, C., Jordan, M. I., & Jiao, J. (2023) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 6

Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment

Wu, T., Zhu, B., Zhang, R., Wen, Z., Ramchandran, K., & Jiao, J. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 4

Towards Optimal Caching and Model Selection for Large Model Inference

Zhu, B., Sheng, Y., Zheng, L., Barrett, C., Jordan, M., & Jiao, J. (2023) · Advances in Neural Information Processing Systems 36

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 2

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Su, D., Zhu, H., Xu, Y., Jiao, J., Tian, Y., & Zheng, Q. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Lyu, B., Yang, Y., Huang, S., Zhang, J., Xu, Q., Li, X., Han, X., Zhang, Y., Zhang, H., Huang, R., et al. (2026) · arXiv

Artificial Intelligence ApplicationsMachine Learning and Data Classification

Cited by 0

EmbedLLM: Learning Compact Representations of Large Language Models

Zhuang, R., Wu, T., Wen, Z., Li, A., Jiao, J., & Ramchandran, K. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0