为AI智能体设计层次化记忆导航，先组织后检索，大幅提升信息获取效率。
arXiv:2606.11680v1 Announce Type: new Abstract: Large language model (LLM) agents struggle with long-horizon tasks due to their inherent statelessness…
提出语义层级感知的层次记忆Transformer，突破长文本建模瓶颈，架构设计颇具新意。
arXiv:2605.24930v1 Announce Type: new Abstract: Transformer-based LLMs achieve strong results on many language tasks; however, long inputs remain chal…
ICML 2026收录：为LLM智能体设计的分层记忆增强安全护栏，提升复杂场景下的行为可控性。
arXiv:2605.05704v2 Announce Type: replace-cross Abstract: Recent advances in foundation models have transformed LLMs from passive conversational syste…