作者位次 #7/9ACL 2026Findings· Findings of ACL
Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience
Zhixiao Qi · Feng Huang · Yunqi Zhang · Shijie Zhang · Qingqing Sun · Yongfeng Huang · Minghu Jiang · Shuai Chen · Tianyi Zhang
摘要
Large language models (LLMs) often hallucinate in question answering (QA) tasks due to a lack of factual knowledge. While integrating knowledge graphs (KGs) with LLMs has alleviated this issue, existing methods suffer from poor generalization or low reasoning efficiency, and critically, they over...