作者位次 #2/4SIGIR 2026Poster· Information Retrieval (TOIS)
How Do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
Qi Liu · Haozhe Duan · Jiaxin Mao · Ji-Rong Wen
摘要
Recent studies have shown that large language models (LLMs) can assess relevance and support information retrieval (IR) tasks such as document ranking and relevance judgment generation. However, the internal mechanisms by which off-the-shelf LLMs understand and operationalize relevance remain lar...