3 papers
cs.HC2026
Bridging Gulfs in UI Generation through Semantic Guidance
Seokhyeon Park, Soohyun Lee, Eugene Choi +4
While generative AI enables high-fidelity UI generation from text prompts, users struggle to articulate design intent and evaluate or refine results-creating gulfs of execution and…
cs.CV2025
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
Wonjun Lee, Doehyeon Lee, Eugene Choi +5
Current Vision Language Models (VLMs) remain vulnerable to malicious prompts that induce harmful outputs. Existing safety benchmarks for VLMs primarily rely on automated evaluation…
cs.CV2025
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
Eugene Choi, Julian Rodriguez, Edmund Young
Domain adaptation is an active area of research driven by the growing demand for robust machine learning models that perform well on real-world data. Adversarial learning for deep…