作者位次 #2/3ACL 2026Findings· Findings of ACL
Parametric Knowledge is Not All You Need: Toward Honest Large Language Models via Retrieval of Pretraining Data
Christopher Adrian Kusuma · Muhammad Reza Qorib · Hwee Tou Ng
摘要
Large language models (LLMs) are highly capable of answering questions, but they are often unaware of their own knowledge boundary, i.e., knowing what they know and what they don’t know. As a result, they can generate factually incorrect responses on topics they do not have enough knowledge of, c...