LangRetrieval is a conditional flow matching framework with semantic warm-up and GRPO-based self-evolving optimization using CSI rewards to improve satellite-to-radar precipitation retrieval.
arXiv preprint arXiv:2501.06907 , year=
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The work introduces WaLeF/FIDLAr for flood forecasting, CoDiCast for probabilistic weather, and Hypercube-RAG for explainable environmental QA, claiming superior accuracy, efficiency, and interpretability over baselines.
citing papers explorer
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LangRetrieval: Language-Guided Self-Evolving Satellite-to-Radar Retrieval via CSI-Driven Reward
LangRetrieval is a conditional flow matching framework with semantic warm-up and GRPO-based self-evolving optimization using CSI rewards to improve satellite-to-radar precipitation retrieval.
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Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems
The work introduces WaLeF/FIDLAr for flood forecasting, CoDiCast for probabilistic weather, and Hypercube-RAG for explainable environmental QA, claiming superior accuracy, efficiency, and interpretability over baselines.