作者位次 #2/7ACL 2026Findings· Findings of ACL
Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey
Jingwen Deng · Jihao Huang · Zhen Hao Wong · Hao Liang · Quanqing Xu · Bin Cui · Wentao Zhang
摘要
Large Language Models (LLMs) excel at natural language understanding and generation, yet their reliance on static pre-training corpora may lead to outdated knowledge, hallucinations, and limited adaptability. Retrieval-Augmented Generation (RAG) mitigates these issues by grounding model outputs w...