Teaching

As a teaching assistant, I have contributed to curriculum development, conducted tutorials, and assisted in designing course projects. Additionally, I delivered several lectures in the courses where I served as a teaching assistant. I also have the privilege of working with several exceptionally talented students below.

Course

• Natural Language Processing and Text Mining, Tsinghua University, 2025. Teaching Assistant
• Knowledge Engineering, Tsinghua University, 2022, 2023, 2024. Teaching Assistant
• Compilers Principles, Beijing University of Posts and Telecommunications, 2019. Teaching Assistant

Lecture

1. 表示学习与语言模型 (Representation Learning and Language Modeling): Natural Language Processing and Text Mining, Tsinghua University, 2025.
2. Explainable Knowledge Question Answering: A Tutorial: Knowledge Engineering, Tsinghua University, 2024.
3. State-of-the-Art of Knowledge Engineering: Knowledge Engineering, Tsinghua University, 2023.
4. Explainable Knowledge Question Answering: A Tutorial: Knowledge Engineering, Tsinghua University, 2023.
5. Knowledge-oriented Programming Language for Complex Question Answering: Knowledge Engineering, Tsinghua University, 2022.

Mentoring

Current Students

1. Yi Jing (THU, Undergrad.): Linguistic mechanism of LLM.
2. Lingxu Ran (THU, Undergrad.): Constructing sparse autoencoder.
3. Jinwu Hu (THU, Undergrad.): Constructing sparse autoencoder.
4. Hongzhu Guo (PKU, Undergrad.): Linguistic mechanism of LLM.
5. Amy Xin (THU, Ph.D student): Scientific research agent.
6. Zhidian Huang (THU, master student): Reasoning mechanism of LLM.
7. Jiaran Ye (THU, master student): Reasoning mechanism of LLM.
8. Yanxu Chen (BUPT, master student): Scientific research agent.

Former Students

1. Yantao Liu (BUPT 2021, CAS-ICT 2022 – 2024): Knowledge integrated reasoning with LLMs; Reward modeling for reinforcement learning. Now Qwen researcher.
2. Zhicheng Lee (THU 2023 – 2025): Knowledge base question answering. Now Zhipu.AI researcher.
3. Weijian Qi (XJTU 2024): Retrieval-augmented Generation. Now OSU, master student.
4. Zeyao Ma (RUC 2023): Evaluating LLMs with ranking. Now RUC, master student.
5. Xiaokang Zhang (RUC 2023–2024): Factual error detection in LLMs. Now Deepseek researcher.
6. Yuchen Fan (BUPT 2023–2024): LLMs generation evaluation. Now SJTU, Ph.D student.
7. Yuanyong Chen (THU 2022): Knowledge-base Question Answering. Now THU, master student.