用图结构优化大模型长期对话记忆，效率与连贯性双提升的学术新突破
arXiv:2606.13115v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have advanced open-domain dialogue systems, maintaining long-term…
提出记忆引导的反思检索方法，专为长期对话代理设计，提升信息召回的精准与连续性。
arXiv:2605.27437v1 Announce Type: cross Abstract: Large Language Models (LLMs) have made significant progress in dialogue, yet redundant memory contex…
破解LLM长期对话中的事实丢失与角色漂移，ARPM时间记忆治理框架来了！
arXiv:2605.14802v1 Announce Type: new Abstract: Large language models often suffer from fact loss, timeline confusion, persona drift, and reduced stab…