Welcome
Hello, traveler from afar, who has stumbled upon this humble corner of the internet. Whether your arrival is by chance or by intention, you’re warmly welcomed. May you find exactly what you’re seeking—or perhaps uncover something delightful and unexpected.
I’m Xiang Fu
I’m a third-year undergraduate student at BU CDS majoring in Data Science. My research interests are in the intersection of...
Here you can find:
AIML Courses at B
Computer Science Courses at B
Data Science Courses at B
Linguistics Courses at B
Course I'm taking
...
A collection of courses I've taken at Boston Universit.
Here are some courses I’m eyeing—if I can make room for them!
Spring...About the Creator
BU Wiki
BU Coursework
My research interests are in model behavior, evaluation, and alignment of language models. I aim to understand the internal mechanisms by which these systems represent and transform information; design metrics that reveal both their strengths and blind spots; and devise alignment techniques that reliably steer their outputs toward human values and intent. More broadly, I probe the interface between machine and human cognition—examining how artificial models learn to generalize, reason, and communicate in ways that both parallel and depart from human understanding. To pursue this work further, I started Modularium Research, where we study how models behave and develop better ways to evaluate them.
Should you choose to explore further, you might start with some projects
A collection of my projects and experiments. Many of these started as .
BU Courses
Website: https://bucourses.com
Argoria [2025 - Present]
Advisor: Kevin Gold
Cognivolve...
A collection of thoughts, ideas, and random musings. Many of these evolve into [projects]] and [writing/blog posts.
Understanding Language Processing in...Projects
Ideas
There’s also my CV
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My personal schedule....
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`...Curriculum Vitae
Schedule
Public Key
H4 Newsroom
4 August 2025
Humans have more sophisticated strategies for processing semantically anomalous word pairs than do Large Language Models to appear at the 66th Annual Meeting of the Psychonomic Society (work with Catherine Caldwell-Harris).
7 July 2025
M^2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models (work with Yanshu Li, Hongyang He, Yi Cao, Qisen Cheng, Xi Xiao, Tianyang Wang, Ruixiang Tang) accepted to COLM.
19 May 2025
New preprint available on arXiv:
Xiang Fu. 2025.
Can an Easy-to-Hard Curriculum Make Reasoning Emerge in Small Language Models? Evidence from a Four-Stage Curriculum on GPT-2. arXiv:2505.11643 [cs.CL].
8 April 2025
Received a $6,000 Student Research Award (SRA) from the Boston University Undergraduate Research Opportunities Program (UROP) for Summer 2025. Excited to work alongside Najoung on this project!
18 September 2024
Awarded the Provost’s Scholars Award ($1000 research funding) from Boston University.