Kai Ye

👤 About Me

1. I am a PhD student in the Department of Statistics at The London School of Economics and Political Science (LSE), advised by Chengchun Shi.
2. Prior to this, I completed an MSc in Applicable Mathematics at LSE.
3. Before ii, I received a BSc in Mathematics with Finance from The University of Liverpool and Xi'an Jiaotong-Liverpool University.

• AWS Academy Educator

🔬 Research

My current research focuses on the intersection of reinforcement learning and large language models, with particular interest in:

• Reinforcement learning and policy optimization
• Confounded and partially observable environments (POMDPs)
• Human feedback alignment and preference-based learning
• Double robust estimation and variance-reduction techniques
• High-dimensional statistics and distributional analysis

📝 Selected Preprints

• 

  Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning

  Ye, K*., Zhou, H*., Zhu, J*., Quinzan, F. and Shi, C.

  Python module for VRPO.

📄 Selected Published

• 

  A Difference-in-Difference Approach to Detecting AI-Generated Images (CVPR)

  Qi, X^*., Ye, K^*., Shi, C., Yang, Y., Zhou, H. and Zhu, J.

  DID detection for AI-Generated Images.
• 

  Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text (ICLR)

  Zhou, H^*., Zhu, J^*., Xu, E., Ye, K., Yang, Y. and Shi, C.

  Learn-to-Distance.
• 

  Doubly Robust Alignment for Large Language models (NeurIPS)

  Xu, E*.,Ye, K*., Zhou, H*.,Zhu, L., Quinzan, F. and Shi, C.

  Python module for DRPO4LLM.
• 

  AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees (NeurIPS)

  Zhou, H*.,Zhu, J*,Ye, K., Su, P., Yang, Y., Akilagun, S. and Shi, C.

  Python module for AdaDetectGPT.