Autumn Kwon

About

Hello! I am the second-year master's student in Computer Science at the University of Southern California, where I work with Professor Daniel Seita in the SLURM Lab.

My research interests lie at the intersection of reasoning models and world-model (WM) applications for robot manipulation focusing on:
(i) reasoning vision-language-action (VLA) model architectures; and
(ii) world-model (WM) verification for improving robustness of robot manipulation; and
(iii) reliable interaction between language-driven systems and humans or robots in real-world environments.

Previously, I worked on in-context learning (ICL) for language models, studying how large language models (LLMs) acquire and adapt to knowledge from their context.

I am particularly interested in bridging research advances with practical impact, translating lab-scale solutions into deployable systems for robotics and assistive technologies. Through both academic research and startup experience, I aim to build human-centered AI systems that can operate realistically in dynamic real-world settings.

Education

Publications

Most recent publications on Google Scholar.
^‡ indicates the student co-authors.

Projects

Computer Science

LLM Sycophancy in Multi-Turn Reasoning Dialogues

Natural Language Dialogue Systems Project

Reinforcement Learning with Symbolic Feedback for Physics-Based Motion Imitation

Deep Learning Project

Verification of Sim-to-Real Transfer in RL-based End-to-End Autonomous Racing Using Visual Domain Randomization

Reinforcement Learning-Based Autonomous Racing Research

Paper Poster Code

The Grinnell College Experience

2D Mobile Game Development

Blog Code

Origin of Replication in Mitochondria

Bioinformatics Research

Code

Experiences

Awards & Fellowship

Vitæ

Full CV in PDF.