Logan Bolton

Undergraduate Researcher at Auburn University interested in AI/ML and Computer Vision

Logan Bolton

About Me

Whiteboard

I am a Computer Science major with a minor in Statistics at Auburn University, where I will graduate in Spring 2026. I have experience with Python, PyTorch, SQL, JavaScript, HTML/CSS and more.

I am currently seeking full-time opportunities for AI/ML related roles after graduation.

View Resume

Selected Papers

WACV 2026

Understanding Generative AI Capabilities in Everyday Image Editing Tasks

Native multi-modal image-editing models like GPT-4o and Gemini have shown an impressive ability to edit images through natural language prompts. This paper examines the strengths and weaknesses of these models when pitted against one-to-one matchups against human editors.

ACCV 2024 - Oral

Vision Language Models are Blind

This paper shows the limitations of VLMs, such as GPT-4o, in extremely simple, abstract vision tasks. Despite their high scores on multimodal benchmarks, these models often fail on very basic cases.

This research has been featured by OpenAI, TechCrunch, and Ars Technica.

Arxiv Preprint

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs

This paper explores how allowing LLMs to highlight their chain of thought to visually link information in the question and answer can increase LLM accuracy while also improving user experience.

Experience

July 2024 - Present

Undergraduate AI Researcher

Explainable AI Lab - Auburn University

I am an Undergraduate Researcher in Dr. Anh Nguyen's Explainable AI lab. Since joining in July 2024, I have co-authored three different papers on understanding the strengths and weaknesses of multimodal LLMs/image-editing models and improving the reliability and interpretability of LLMs.

This work led to me becoming an Auburn Undergraduate Research Fellow and receiving an honorable mention for the Outstanding Undergraduate Researcher Award from the Computing Research Association.

Summer 2025

Artificial Intelligence and Machine Learning Intern

Corvid Technologies - Huntsville, AL

Summer 2025 intern at the defense contractor Corvid Technologies. I worked on applying deep learning to develop more sophisticated methods to predict how 3D objects affect radar response signals.

Fall 2024 - Present

Biomechanics Deep Learning Lab Assistant

Sport Biomechanics Lab - Auburn University

I have worked as a lab assistant at the Auburn Sport Biomechanics lab since Fall 2024. I created a ResNet based pose estimation model to study how different movements can affect the long-term health of canines.

Other Projects

Wordle - GRPO Agent

Finetuned an open-source LLM and trained with reinforcement learning to improve the model from only being able to complete 0.1% of Wordle games to successfully completing 18% of games.

Reverse Engineering Information from LLM Attention Values

For the final project of my graph theory class, I trained a model to reconstruct the adjacency matrix of a graph based off the attention values of an LLM. This project demonstrates an example of how the attention map patterns of LLMs can be used to help interpret the inner workings of language models.

Contact

Have a question or want to work together? Feel free to send me an email:

loganbolton101@gmail.com
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