一作ACL 2026Findings· Findings of ACL
The Model Agreed, But Didn’t Learn: Diagnosing Surface Compliance in Large Language Models
Xiaojie Gu · Ziying Huang · Weicong Hong · Jian Xie · Renze Lou · Kai Zhang
摘要
Large Language Models (LLMs) internalize vast world knowledge as parametric memory, yet inevitably inherit the staleness and errors of their source corpora. Consequently, ensuring the reliability and malleability of these internal representations is imperative for trustworthy real-world deploymen...