arXiv AI August 11, 2026 By Fan Yang, Nan Chen, Yijie Dong, Yuchen Zhang, Wei Zhang

AirFlow: Context Preserving and Multi-Rate State Modeling for Air Quality Forecasting

arXiv:2608. 09775v1 Announce Type: new Abstract: Accurate air quality forecasting is essential for public health and urban environmental management, but remains challenging because pollutant channels differ in periodicity and distribution drift, while their concentration trajectories contain both multi-scale dependencies and rapid changes.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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multimodal benchmarks

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benchmarks

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llms benchmarks

Hugging Face Trending Papers

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Air Quality Station Simulation via LSTM and Attention-Based Modelling

Poor air quality in urban areas is driven by a complex chain of processes and presents a significant public health concern. To better understand and control the mechanisms that determine air quality, cities deploy networks of measurement stations, and launch initiatives for collecting denser data about the concentration of pollutants in the atmosphere.

benchmarks

arXiv AI

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MVG-KAN: Multi-View Geo-Wind Guided KAN for PM$_{2.5}$ Forecasting

arXiv:2606. 24347v1 Announce Type: new Abstract: Accurate short-term PM$_{2.

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Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models

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