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20242026
most citedUrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction

6 citations · 10 across the 13 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.AI2026

The Value of Memory in Language Agents

Zehao Lin, Erenkai Zhu, Helan Hu +3

Memory enables language agents to carry useful distinctions from past experience into future decisions. Its value depends on which distinctions survive, whether a bounded agent can…

cs.CL2026

Compiling Autoregressive LLM Control into Policy-Exact Parallel Inference for Hierarchical RAG

Zehao Lin, Qianfeng Shen, Xixuan Hao +8

Large language models increasingly act as controllers in structured decision pipelines, yet their decisions are still executed by autoregressive text decoding. Hierarchical RAG is…

cs.AI2026

Perceive to Hypothesize, Verify to Ground: An Agentic Reasoning Framework for Open-World Geo-Localization

Yutian Jiang, Ruijie Li, Sisuo Lyu +4

Open-world geo-localization requires models to reason over ambiguous visual cues through multi-step reasoning and external knowledge grounding. While recent large vision-language m…

cs.CV2026

CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment

Yutian Jiang, Jiabo Liu, Xixuan Hao +1

Geospatial representation learning from satellite imagery is a fundamental problem for large-scale urban analysis and real-world applications. Despite recent advances, current meth…

cs.CL2026

Metis: Memory Foundation Model

Zeyu Zhang, Ziliang Guo, Yihang Sun +14

Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reaso…

cs.AI2026

Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

Xixuan Hao, Yutian Jiang, Jiabo Liu +4

Urban region profiling constitutes a core problem in urban computing, supporting applications such as population estimation, economic assessment, and environmental monitoring. Exis…

cs.AI2026

MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations

Xixuan Hao, Zeyu Zhang, Zehao Lin +6

Long-term memory has become a foundational capability for LLM-based agents that accompany users across extended, multi-session interactions. Existing benchmarks, however, evaluate…

cs.CR2026

A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle

Zehao Lin, Xixuan Hao, Renyu Fu +5

The emergence of writable, cross-session persistent memory in LLM agents introduces a qualitatively different threat landscape from conventional input-centric security concerns, ch…

cs.LG2026

Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web

Xixuan Hao, Guicheng Li, Daiqiang Wu +6

The proliferation of ride-hailing services has fundamentally transformed urban mobility patterns, making accurate ride-hailing forecasting crucial for optimizing passenger experien…