4 citations · 5 across the 4 of their papers we have counts for
5 papers
Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study
Annalisa Szymanski, Oghenemaro Anuyah, Toby Jia-Jun Li +1
Large Language Models (LLMs) are increasingly developed for use in complex professional domains, yet little is known about how teams design and evaluate these systems in practice.…
Online Safety for All: Sociocultural Insights from a Systematic Review of Youth Online Safety in the Global South
Ozioma C. Oguine, Oghenemaro Anuyah, Zainab Agha +3
Youth online safety research in HCI has historically centered on perspectives from the Global North, often overlooking the unique particularities and cultural contexts of regions i…
Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria
Annalisa Szymanski, Simret Araya Gebreegziabher, Oghenemaro Anuyah +2
Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet evaluating their outputs remains challenging. A common strategy is to apply evaluation criteri…
Generating and Visualizing Trace Link Explanations
Yalin Liu, Jinfeng Lin, Oghenemaro Anuyah +2
Recent breakthroughs in deep-learning (DL) approaches have resulted in the dynamic generation of trace links that are far more accurate than was previously possible. However, DL-ge…
Can we leverage rating patterns from traditional users to enhance recommendations for children?
Ion Madrazo Azpiazu, Michael Green, Oghenemaro Anuyah +1
Recommender algorithms performance is often associated with the availability of sufficient historical rating data. Unfortunately, when it comes to children, this data is seldom ava…