Gio Jung
I’m a Computer Science graduate (MS, SFSU) with a focus on machine learning, computer vision, and AI systems. My work sits at the intersection of building and evaluating intelligent systems from training multimodal models to designing pipelines that rigorously measure how well they actually perform. I’m particularly drawn to computer vision and AI evaluation as fields where technical depth meets real impact: how a model sees, interprets, and acts on the world matters beyond benchmark numbers. That’s why questions of reliability, interpretability, and trust are central to how I think about AI, especially in contexts where these systems directly shape human experience and decision-making.
News
| Apr 02, 2026 | The paper “Beyond Lexical Overlap: Validating Semantic Similarity Metrics for LLM-Based Video Caption Augmentation” has been accepted at ICIIT 2026! |
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| Feb 02, 2026 | The paper “Using Item-Response Theory to Disentangle Local vs. Global …” is officially published at the Journal of Discourse Processes! |