作者位次 #2/5ACL 2026Findings· Findings of ACL
E vo M em KG : An Evolvable Memory Agent for Multi-hop Knowledge Graph Reasoning
Shiyu Tian · Shuyue Xing · Zhuoxin Han · Caixia YUAN · Xiaojie Wang
摘要
Integrating knowledge graphs (KGs) with large language models (LLMs) enhances factual accuracy and interpretability in question answering. However, existing agent-based methods rely on static memory mechanisms that fail to address the combinatorial explosion of search spaces in multi-hop reasonin...