Spatio-Temporal Graph Neural Networks (STGNNs) have emerged as powerful tools for modeling dynamic systems, yet they face critical generalization challenges in streaming Spatio-Temporal Out-of-Distribution (STOOD) scenarios, where spatial structures and temporal dynamics evolve beyond the distributions observed in hist...
Haoyu Zhang, Xinke Jiang, Wen-Tao Zhang et al.· IEEE Transactions on Pattern...· 1 citation
Long-term memory supports the self-evolution of LLM agents by retaining experience and skills across tasks and enabling their retrieval, reuse, and revision in subsequent long-horizon decision-making. Yet existing memory management approaches remain limited to discriminative retrieval and to address the sparse, hierarc...
Xin-Ke Jiang, Tao Feng, Wei-Xuan Xu et al.· 0 citations
This work proposes AgenticRag-R1, a RL framework that deeply integrates reasoning, retrieval, and memory via a memory stack and fine-grained action space, supported by hierarchical action-aware rewards and an information-aware trajectory rejection strategy to enable effective long-horizon learning.
Xin-Ke Jiang, Yue Fang, Zhi-Bang Yang et al.· 2 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.