Information Access Seminar: Two Student Reports

Benchmarking Error and Robustness of AI Text Detection Methods

Michael Wang

As the capabilities of state-of-the-art LLMs become more and more powerful, the challenge of detecting AI generated text also becomes increasingly difficult. Research in this field has yielded several promising methods, while also raising concerns about error and robustness. A well-constructed benchmark can provide more meaningful metrics to assess AI text detection models compared to self-reported accuracy scores, which often overestimate the true accuracy of AI text detection models.

Maternal Nutrition and Child Health in the Democratic Republic of Congo: Trends and Key Indicators (2007, 2013 and 2014)

Cora Cai

The project focuses on data visualization to analyze maternal nutrition and child health trends in the Democratic Republic of Congo (2007, 2013, 2014). Key indicators such as iron and vitamin A supplementation, child nutrition outcomes (stunting, anemia), and maternal health factors (body mass, depression, mortality) are explored. The analysis also includes socioeconomic factors like wealth index and decision-making, as well as environmental factors like flood events and food security.

This seminar will be held both online & in person. You are welcome to join us either in South Hall or via Zoom.

For online participants

Online participants must have a Zoom account and be logged in. Sign up for your free account here. If this is your first time using Zoom, please allow a few extra minutes to download and install the browser plugin or mobile app.

Join the seminar online