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RAM: Towards an Ever-Improving Memory System by Learning from Communications
April 22, 2024, 4:47 a.m. | Jiaqi Li, Xiaobo Wang, Zihao Wang, Zilong Zheng
cs.CL updates on arXiv.org arxiv.org
Abstract: We introduce RAM, an innovative RAG-based framework with an ever-improving memory. Inspired by humans' pedagogical process, RAM utilizes recursively reasoning-based retrieval and experience reflections to continually update the memory and learn from users' communicative feedback, namely communicative learning. Extensive experiments with both simulated and real users demonstrate significant improvements over traditional RAG and self-knowledge methods, particularly excelling in handling false premise and multi-hop questions. Furthermore, RAM exhibits promising adaptability to various feedback and retrieval method …
abstract arxiv communications cs.ai cs.cl ever experience feedback framework humans improving learn memory process rag reasoning reflections retrieval type update
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