4 papers
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
Tin Nguyen, Logan Bolton, Mohammad Reza Taesiri +2
An Achilles heel of Large Language Models (LLMs) is their tendency to hallucinate non-factual statements. A response mixed of factual and non-factual statements poses a challenge f…
SketchVLM: Vision language models can annotate images to explain thoughts and guide users
Brandon Collins, Logan Bolton, Hung Huy Nguyen +3
When answering questions about images, humans naturally point, label, and draw to explain their reasoning. In contrast, modern vision-language models (VLMs) such as Gemini-3-Pro an…
Understanding Generative AI Capabilities in Everyday Image Editing Tasks
Mohammad Reza Taesiri, Brandon Collins, Logan Bolton +4
Generative AI (GenAI) holds significant promise for automating everyday image editing tasks, especially following the recent release of GPT-4o on March 25, 2025. However, what subj…
Vision language models are blind: Failing to translate detailed visual features into words
Pooyan Rahmanzadehgervi, Logan Bolton, Mohammad Reza Taesiri +1
While large language models with vision capabilities (VLMs), e.g., GPT-4o and Gemini 1.5 Pro, score high on many vision-understanding benchmarks, they are still struggling with low…