2024

This study evaluates the performance of Multimodal Large Language Models (MLLMs) on the VALSE benchmark, highlighting the significant impact of few-shot In-Context Learning and Chain-of-Thought prompting on complex reasoning tasks, and underscores the influence of pretraining datasets in optimizing MLLMs for better grounding in visual contexts.

This study introduces ViLMA (Video Language Model Assessment), a task-agnostic benchmark designed to rigorously evaluate the fine-grained visio-linguistic capabilities of Video-Language Models, revealing that current models struggle with grounding abilities and perform similarly to static image-based models, particularly when evaluated with proficiency and counterfactual tests.

This article highlights how team-based, hands-on projects, including designing and implementing a 16-bit MIPS-like processor, significantly enhance student motivation and knowledge in computer architecture courses, even in the absence of lab components, by engaging them in practical design, simulation, and verification phases, and shows that peer interactions further deepen their understanding of custom processor design.

2020

This study investigates possible speculators or influencers on Twitter who may manipulate stock prices of major NASDAQ companies like Google, Amazon, Apple, Tesla, and Microsoft, using sentiment analysis and machine learning models, revealing that noise reduction is essential for accurate correlation, tweet volume does not correlate with company volume, threshold impacts accuracy, and the RBF Kernel SVM method outperforms other algorithms.

The "Interstellar Inclusion" Erasmus+ project brought together 36 young people from 6 countries to engage in a multicultural experience focused on fostering inclusivity, empathy, and intercultural awareness, using astronomy as a metaphorical framework to combat xenophobia and racism, promote European values, and empower participants through non-formal education activities such as team-building, intercultural nights, and interactive discussions.

A multidisciplinary experience at Sungeun Cho's Sensory Lab, where I explored the relationship between sleeping patterns and eating habits using Python libraries, applied Bayes Theorem to evaluate test results, and gained valuable insights through collaboration, contributing to ongoing research and offering practical applications for partnering companies.

The "Sail With EntrepreneurShip" youth exchange, held in Tallinn, Estonia, from May 24th to June 1st, 2018, empowered 36 participants from seven countries in social entrepreneurship. The project focused on developing skills in creative thinking, financial management, and strategic planning through hands-on activities like role-plays and business model workshops. It aimed to tackle youth unemployment by equipping young people with practical tools to drive social change.