Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study
Jie Gao, Yongan Yu, Junzhu Su +3
Adaptive learning refers to educational technologies that track learners' learning progress and adapt the instructional process based on individual learners' learning performance.…
cs.CL2025
THiNK: Can Large Language Models Think-aloud?
Yongan Yu, Mengqian Wu, Yiran Lin +1
Assessing higher-order thinking skills in large language models (LLMs) remains a fundamental challenge, especially in tasks that go beyond surface-level accuracy. In this work, we…