Error as a Lens: Probing LLM Reasoning through Synthetic Misconception Generation 事件

Error as a Lens: Probing LLM Reasoning through Synthetic Misconception Generation arXiv:2605.29007v1 Announce Type: new Abstract: Personalized tutoring, teacher training, and education research need access to \emph{targeted} synthetic misconceptions, but privacy and IRB constraints make labelled corpora of real student errors scarce. LLMs could in principle generate synthetic errors at scale, but producing an arbitrary wrong answer is easy for a modern LLM while producing one that matches a spe