2 papers
cs.LG2026
LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling
Qi Cao, Yufan Wang, Peijia Qin +2
Large language models (LLMs) often expose useful signals of self-monitoring: before solving a problem, they can estimate whether they are likely to succeed, and after solving it, t…
cs.CL2024
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Changrong Xiao, Wenxing Ma, Qingping Song +4
Receiving timely and personalized feedback is essential for second-language learners, especially when human instructors are unavailable. This study explores the effectiveness of La…