Ph.D. Candidate at NUS
I am a fourth-year Ph.D. candidate at National University of Singapore advised by Prof. Kenji Kawaguchi. I also closely work with Prof. Michael Qizhe Shieh and Prof. Wenxuan Zhang. I completed my undergraduate at Shanghai Jiaotong University under Prof. Haiming Jin’s advisor.
My research is primarily centered around exploring Efficiency, Multilingual, Alignment, and Reasoning within the context of Large Language Models.
I’m on the job market and actively looking for a Research Scientist position starting in Fall 2025! Feel free to reach out—I’d love to connect!
Unnatural Languages Are Not Bugs but Features for LLMs
Keyu Duan*, Yiran Zhao*, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh.
[paper] [code]
Identifying and Tuning Safety Neurons in Large Language Models
Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Qizhe Shieh.
International Conference on Learning Representations (ICLR) 2025.
[paper]
Investigating Pattern Neurons in Urban Time Series Forecasting
Chengxin Wang, Yiran Zhao, Shaofeng Cai, Gary Tan.
International Conference on Learning Representations (ICLR) 2025.
[paper]
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL) 2025.
[paper]
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing
Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL) 2025.
[paper]
How do Large Language Models Handle Multilingualism?
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing.
Neural Information Processing Systems (NeurIPS) 2024.
[paper] [code]