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UVA - DS6051 Decoding LLMs Hackathon
Evaluating the Gemma LLM on it's tutor abilities for elementary science.
InstiGuard-Gemma: A 5-metric enterprise safety scorecard auditing Gemma-4-E2B variants with a 3-model judge panel, cross-lingual testing, and a novel long-context constraint decay metric.
Our project topic is a Love Island based contextual self improvement generator
Project focusing on the personal finance domain regarding budgeting, debt management, credit, investments, and more.
Investigating the safety of an LLM autograder performance on student essays.
A multilingual content moderation scorecard comparing Gemma-base and Gemma-IT on harm recognition, refusal calibration, and safe steering across red-teaming prompts.
Evaluate Gemma’s robustness against adversarial evasion by measuring how readily it can be induced to misclassify phishing emails as legitimate through iterative adversarial rewriting.
Our plant toxicology and poison control assistant is a model people turn to when they suspect a poisonous plant exposure and need fast, accurate guidance.
We tried to trick Gemma into cheating - roleplay, sob stories, fake prof permission. Tested 2 languages, 4 judges, and if it acts different when "watched." Results are spicy
Jailbreaking Gemma 4 E2B models to expose safety gaps in AI lesson planning. Our goal is to highlight developer accountability and urge educators to critically review AI outputs.
A team project working towards AI safety applied to Google's Gemma-4-E2B model
Finding a job on campus shouldn't be hard. CavHires makes it simple: clear, quick, and right where you need it. Powered by state-of-the-art AI and data visuals, CavHires brings campus jobs to life.
A smart Spotify song recommender based on what you are reading using natural language processing
