Li Jiang
Ph.D. in Operation Management
About me
Welcome to my homepage! I am Li Jiang (姜力 in Chinese). I am a Ph.D. student at the Desautels Faculty of Management, McGill University, Canada. I am advised by Yichuan Ding and Xue Liu. Prior to McGill, I graduated from Tsinghua, where I worked with Wai Kin (Victor) Chan and Xianyuan Zhan.
Currently, I mainly focus on fine-tuning LLMs using reinforcement learning with human feedback (RLHF) and its application in diverse domains. I maintain a github source for current papers in RLHF.
News
- 🥳🚀🎉 One paper related to LLM alignment is accepted to COLM 2024. We study on the conflict among different values during alignment phase. See you in UPenn in Oct!
- One paper related to offline RL is accepted to NeurIPS 2023.
- One paper related to offline RL is accepted to ICLR 2023.
- One paper related to offline RL is accepted to NeurIPS 2022.
Awards
- Shenzhen University International Scholarship, 2023.
- Stanford Existential Risk Initiative Research Fellowship, 2022.
Service
- Reviewer for ICML(2023-2024), NeurIPS(2023-2024), ICLR (2023-2024)
- TA for MGCR 307 Operation Management, McGill University,(2023-2024).
Misc
I love mountain climbing as it allows me to witness the awe-inspiring vastness of the universe from great heights. Feel free to reach me at li.jiang3@mail.mcgill.ca (research) or jiangli3859@gmail.com (personal).