Suyuchen Wang (王苏羽晨)
Ph.D. Candidate, Computer Science
About Me
Suyuchen Wang is a Ph.D. candidate at Mila, Quebec AI Institute, focusing on advancing Natural Language Processing and Large Language Models. His research includes exploring efficient long sequence modeling techniques and enhancing the performance of LLMs through innovative approaches. He collaborates under the supervision of Bang Liu and has a significant publication track record in major AI conferences.
Interests
- Artificial Intelligence
- Natural Language Processing
- Large Language Models
- Long Sequence Modeling
- Multimodal Large Models
Education
Ph.D., Computer Science
Mila - Quebec AI Institute / Université de Montréal
B.Eng. (Hons.), Computer Science
Beihang University
Looking for Jobs!
I am seeking Research Engineer or Research Scientist roles specializing in Long Sequence LLMs, Multimodal LLMs, and Agentic LLMs, with availability starting in early 2026. Feel free to connect with me via email or LinkedIn.
Featured Publications
Recent Publications
(2024).
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval.
CoRR.
(2024).
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.
CoRR.
(2024).
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation.
CoRR.
(2024).
Resonance RoPE: Improving Context Length Generalization of Large Language Models.
Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024.
(2024).
VCR: Visual Caption Restoration.
CoRR.