The paper introduces EWRA, a two-stage reasoning-aware fine-tuning method for small language models, together with the ExtremeWeatherNews dataset of over 127,000 extreme-weather news sentences, and evaluates both on three weather analytics tasks.
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ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
The paper introduces EWRA, a two-stage reasoning-aware fine-tuning method for small language models, together with the ExtremeWeatherNews dataset of over 127,000 extreme-weather news sentences, and evaluates both on three weather analytics tasks.