Boring Research Lab
The Boring Research Lab develops machine learning and deep learning models to automate repetitive tasks and make the world a better place. Our research focuses on prompt engineering, language models, explainable AI, and edge computing.
Highlights
Low-Resource NLP
Our research in low-resource NLP aims to develop data augmentation techniques and transformer-based models for languages with limited data, such as Gaelic.
Explainable AI
We focus on interpreting complex models and making NLP more transparent for users, bridging the gap between AI and human understanding.
Our Team
Our team is dedicated to advancing AI and NLP research while making technology more accessible and impactful for everyone.
In summary, the Boring Research Lab website highlights the lab’s focus on developing machine learning and deep learning models to automate tasks and improve the world. It showcases their key research areas in low-resource NLP, explainable AI, efficient deep learning, and human-AI collaboration. The site features the lab’s open-source projects, research publications, blog posts introducing the lab and its mission, and profiles of the team led by Principal Investigator Junfan Huang. The overall structure and content aim to provide an informative overview of the Boring Research Lab’s work and its commitment to advancing AI and NLP research while making technology more accessible and impactful.