作者位次 #3/5ACL 2026Poster· Natural Language Processing
MINTQA : A Multi-Hop Question Answering Benchmark for Evaluating LLM s on New and Long-tail Knowledge
Jie He · Nan Hu · Wanqiu Long · an Jiaotong University) · Jeff Z. Pan
摘要
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, enabling them to tackle knowledge-intensive tasks. However, limited research has explored how LLMs effectively leverage RAG techniques for multi-hop question answering (QA), particularly...