作者位次 #4/6ACL 2026Poster· Natural Language Processing
Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules
Kexin Ma · Haotian Wang · Shenglin Chen · Yishuai Cai · Huangyuyu · Ruochun Jin
摘要
Embodied agents have successfully leveraged large language models (LLMs) to better transform human instructions and images into executable task plans. Furthermore, memories of agents can be leveraged to achieve continual self-learning and optimization. However, vector data quality problems emerge...