Eric Xue

I'm Eric Xue, a fourth-year undergraduate student studying computer science at the University of Toronto. I use technology to create innovations that open up new possibilities and lead us toward more exciting futures.

I'm currently a student researcher at the

• Computational Social Science Lab at UofT (supervised by Prof. Ashton Anderson)
• Social AI Research Group at UofT (supervised by Prof. William Cunningham)
• DREAM Lab at UIUC (supervised by Prof. Haohan Wang)

Email  /  Resume  /  Twitter  /  Github

Research

I have explored a range of research topics such as large language models, adversarial robustness, dataset distillation, computer vision, and reinforcement learning. Recently, I am mostly interested in studying the potential applications of LLMs.

Proposed a curvature regularization technique, informed by theoretical insights, to enhance the inherent adversarial robustness of models trained on condensed datasets.

An LLM agent framework that builds and optimizes image classification models by simulating a human machine learning development team. AutoModel iteratively improves all aspects of the pipeline, including data augmentation, model architecture, optimizers, and hyperparameters, from real training feedback and entirely without human supervision.

A personalized AI behavior model for chess that uses two-stage fine-tuning and meta-networks to efficiently predict individual decision-making styles with minimal data, enabling flexible human-AI collaboration.

A hybrid machine Theory of Mind approach combining LLM-generated hypotheses with Bayesian inverse planning to predict mental states, enhancing performance on ToM tasks and enabling socially intelligent agent models.

Granular performance analysis using ROC curves of pre-trained object detectors in the autonomous vehicle setting, examining different data subgroups (bounding box sizes, object types, occlusion levels) and various image perturbations.

Selected Projects

An LLM-based application essay editing platform built with the MERN stack that rewrites and enhances student essays, highlighting their strengths and aligning with their interests, activities, desired schools, and intended major for undergraduate or graduate applications, aiming to provide equal opportunities and guidance for all students in the college application process.

An AI clone of myself, fine-tuned using scraped text data from my Discord conversations, deployed as a bot on Discord to explore the integration of AI/LLMs into everyday life.

My own version of an AI character chatting platform that incorporates features I found missing in similar platforms, such as Character AI, including avatar generation for AI characters and autonomous messaging from AI characters to users.

An iOS app, previously published on the App Store (now removed due to lack of updates), that allowed users to identify dog breeds from a single photo by utilizing fine-tuned image classification models in the backend.

Miscellanea

Awards