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cs.CL2026
Cognitive Agent Compilation for Explicit Problem Solver Modeling
Hyeongdon Moon, Carolyn Rosé, John Stamper
Large language models (LLMs) are widely used for tutoring, feedback generation, and content creation, but their broad pretraining makes them hard to constrain and poor substitutes…
cs.CY2026
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…
cs.CL2026
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…