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  GeoChrono is introduced in the paper [*GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing*](https://arxiv.org/abs/2607.15768) (**accepted at ACM MM 2026** πŸ”₯), together with the **ChronoBench** benchmark and the **ChronoInstruct** instruction-tuning dataset.
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  - πŸ“„ **Paper**: https://arxiv.org/abs/2607.15768
 
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  - πŸ“¦ **Code**: https://github.com/IntelliSensing/GeoChrono
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  - πŸ“Š **Data (ChronoBench & ChronoInstruct)**: https://huggingface.co/datasets/Davidup1/GeoChrono-Data
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  GeoChrono is introduced in the paper [*GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing*](https://arxiv.org/abs/2607.15768) (**accepted at ACM MM 2026** πŸ”₯), together with the **ChronoBench** benchmark and the **ChronoInstruct** instruction-tuning dataset.
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  - πŸ“„ **Paper**: https://arxiv.org/abs/2607.15768
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+ - 🌐 **Project Page**: https://davidup1.github.io/papers/geochrono/
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  - πŸ“¦ **Code**: https://github.com/IntelliSensing/GeoChrono
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  - πŸ“Š **Data (ChronoBench & ChronoInstruct)**: https://huggingface.co/datasets/Davidup1/GeoChrono-Data
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