Author

Yang Liu

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#human-computer interacti... Preprint Sep 2026

Adaptive Scaffolding Needs Contingency: An AI Tutor That Escalates and Fades on What the Learner Does

Coding assistants raise task performance, but learners plan and monitor less. Giving less away, the usual fix, conflates two things: how much work a system carries (cognitive load) and what the learner must decide before help arrives (metacognitive demand). Our principle, preserved metacognitive demand, holds the secon...

Xin-Meng Hou, Yuxuan Weng, Chin-Hsien Yeh et al. · 0 citations

#artificial intelligence Preprint Dec 2025

ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth

ScalePRM, which scales verification compute as an alternative to ground-truth supervision for training process reward models, generates multiple independent verifications of each reasoning step and aggregate their judgments to produce synthetic step-level labels without ground truth.

Salman Rahman, Sruthi Gorantla, Arpit Gupta et al. · 0 citations