AI RESEARCH
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
arXiv CS.CL
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ArXi:2605.07522v1 Announce Type: new Accurate weather forecast reporting enables individuals and communities to better plan daily activities and agricultural operations. However, the current reporting process primarily relies on manual analysis of multi-source data, which leads to information overload and reduced efficiency. With the development of multimodal large language models (MLLMs), leveraging data-driven models to analyze and generate reports in the weather forecasting domain remains largely underexplored.