Large language models increasingly act as controllers in structured decision pipelines, yet their decisions are still executed by autoregressive text decoding. Hierarchical RAG is one such setting: at each frontier of a document tree, an LLM commits to $b$ of $k$ sections under an input-dependent action grammar, execut...
Zehao Lin, Qian-Feng Shen, Xi-Xuan Hao et al.· 0 citations
This analysis indicates that robust Long-Term Memory security cannot be retrofitted at retrieval or execution time alone, but must be anchored in storage-time provenance, versioning, and policy-aware retention from the outset.
Zehao Lin, Xixuan Hao, Renyu Fu et al.· 20 citations
This work proposes UrbanAgent, an agentic framework that reframes urban region profiling as a reasoning-driven inference problem, and extends indicator prediction as a closed-loop process of active evidence acquisition and iterative reasoning, enabling agents to verify uncertain inferences through tool-augmented retrie...
Xixuan Hao, Yutian Jiang, Jiabo Liu et al.· Proceedings of the 32nd ACM...· 2 citations
Geospatial representation learning from satellite imagery is a fundamental problem for large-scale urban analysis and real-world applications. Despite recent advances, current methods struggle with cross-region generalization and semantic interpretability due to their reliance on region-specific auxiliary data and the...
Yutian Jiang, Jiabo Liu, Xixuan Hao et al.· 1 citation
This work reformulate geo-localization as a human-like perceive-then-verify reasoning problem and proposes GeoPAVE (Geo-localization Perception-and-Verification-Engine), a bi-level agentic framework that contains perception-based hypothesis generation via single-pass rollouts and verification-based evidence grounding f...
Yutian Jiang, Rui-Ji Li, Sisuo Lyu et al.· 0 citations
It is argued that, in dynamic long-horizon interactions, memory is not a static collection of facts but a lifecycle of explicit operations, including remembering, forgetting, updating, reflecting, and their compositions, which reveal that current systems remain far from uniformly reliable.
Xixuan Hao, Zeyu Zhang, Zehao Lin et al.· arXiv.org· 3 citations
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