Yuxuan Jiang
PhD Student ⎟ LLMs & Tool-Integrated Reasoning ⎟ NLP, LLM Reasoning

Yuxuan Jiang
yuxuanj1@umbc.edu
Affiliations
University of Maryland, Baltimore County
Ph.D. in Computer Science
2023 - Present
Advisor: Dr. Frank Ferraro
Beijing Language and Culture University
B.Sc. in Information Systems
Fall 2016 - Fall 2020
Professional Services
Reviewer of MATH-AI Workshop at NeurIPS 2025
Yuxuan Jiang is a Computer Science PhD student under Dr. Francis Ferraro at the University of Maryland, Baltimore County (UMBC).
His research centers on tool-integrated reasoning, LLM Memorization, and efficient large language models.
His ongoing projects include building large-scale reasoning benchmarks and studying how reasoning efficiency relates to model memory and inference balance.
Previously, Yuxuan earned his M.S. in Computer Science from New York University and B.A. in Information Systems from Beijing Language and Culture University.
He also interned at Xiaomi, where he worked on large-scale dialogue systems and commonsense reasoning integration, and at the National Language Resource Monitoring Center, where he led semantic role labeling and input-correction research.
He has authored several papers on large language model reasoning and evaluation, including works on memorization mitigation and reasoning-step compression.
I am currently open to research collaborations in large language models reasoning. Please email me if you’d like to discuss a project.
Yuxuan has a strong background in deep learning, natural language processing, with experience in PyTorch, Hugging Face, TensorFlow, and cloud deployment (AWS / GCP).
He has also been recognized for his contributions to research on reasoning efficiency, skill-aware step pruning, and distilled reasoning models in recent ACL and EMNLP submissions.
Research Interests
✓ Tool-Integrated Reasoning
✓ Large Language Models Reasoning
Recent News (See All)
Oct 16, 2025 | Our paper “Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning” got accepted in *MATH-AI Workshop, Neurips 2025. |
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Aug 20, 2025 | One paper accepted in EMNLP 2025. |
Featured Publications
Check out Google Scholar for a full list of my publications.