5 papers
From Defense to Advocacy: Empowering Users to Leverage the Blind Spot of AI Inference
Yumou Wei, John Carney, John Stamper +1
Most privacy regulations function as a passive defensive shield that users must wield themselves. Users are incessantly asked to "opt-in" or "opt-out" of data collection, forced to…
Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models
Yumou Wei, John Stamper, Paulo F. Carvalho
We explore the use of small language models (SLMs) for automatic question generation as a complement to the prevalent use of their large counterparts in learning analytics research…
Small but Significant: On the Promise of Small Language Models for Accessible AIED
Yumou Wei, Paulo Carvalho, John Stamper
GPT has become nearly synonymous with large language models (LLMs), an increasingly popular term in AIED proceedings. A simple keyword-based search reveals that 61% of the 76 long…
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Yumou Wei, Paulo Carvalho, John Stamper
Educators evaluate student knowledge using knowledge component (KC) models that map assessment questions to KCs. Still, designing KC models for large question banks remains an insu…
Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game
Yumou Wei, Paulo F. Carvalho, John Stamper
Gender and race inferred from an individual's name are a notable source of stereotypes and biases that subtly influence social interactions. Abundant evidence from human experiment…