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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.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…
cs.CL2025
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…