Hi, I’m Zhipeng Yang (杨致芃), an incoming PhD student in the Computer Science Department at Rutgers University. I received my Bachelor’s degree in Robot Engineering from Southeast University. My research interest lies in the interpretability of language models.

🔥 News

None.

📝 Publications

* indicates equal contribution.

  • Yang, Z., Yang, S., Hu, L. & Wang, D.. Word Recovery in Large Language Models Enables Character-Level Tokenization Robustness. arXiv preprint 2026.
  • Yang, Z., Li, J., Xia, S., & Hu, X.. Internal Chain-of-Thought: Empirical Evidence for Layer‑wise Subtask Scheduling in LLMs. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Main). arXiv code
  • Wang, R.*, Yang, Z.*, Zhao, Z., Tong, X., Hong, Z., & Qian, K.. LLM-based Robot Task Planning with Exceptional Handling for General Purpose Service Robots. In 2024 43rd Chinese Control Conference (CCC 2024). (Oral) arXiv
  • Yang, Z.*, Wang, R.*, Tan, Y., & Xie, L.. MALT: Multi-scale Action Learning Transformer for Online Action Detection. In 2024 International Joint Conference on Neural Networks (IJCNN 2024). (Oral) arXiv

📖 Educations

  • 2026.09 -, PhD in Computer Science, Rutgers University.
  • 2021.08 - 2025.06, Bachelor in Robot Engineering, Southeast University.

💻 Internship

  • 2025.6 - 2026.1, MBZUAI, supervised by Prof. Lijie Hu.
  • 2024.10 - 2025.5, HKUST GZ, supervised by Prof. Xuming Hu.