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Analysis on the Theory of Blow-up and Verification on Numerical Prediction of Heavy Rain in Sichuan Basin
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作者 邓兵奎 《Meteorological and Environmental Research》 CAS 2010年第12期52-55,共4页
By dint of V-3θ diagram from the Blown-up theory,a continuous heavy rain process in western Sichuan basin from July 14 to 17,2009 is analyzed in this paper.Situation field and precipitation of ECWMF and T213 are veri... By dint of V-3θ diagram from the Blown-up theory,a continuous heavy rain process in western Sichuan basin from July 14 to 17,2009 is analyzed in this paper.Situation field and precipitation of ECWMF and T213 are verified and discussed.Results show that V-3θ diagram can describe the heavy rain process accurately.Combining with additional conventional weather charts,experience and numerical forecast products,the heavy rain falling area is determined.The forecast accuracy of situation field of EC is significantly higher than that of T213 and the forecast accuracy of T213 for heavy rain forecast is relatively low. 展开更多
关键词 Blown-up theory V-3θ diagram Western Sichuan obstructive model interpretation and analysis Integrated Forecast China
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Generative Models as a Complex Systems Science:How Can We Make Sense of Large Language Model Behavior?
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作者 Ari Hotzman Peter West Luke Zettemoyer 《Journal of Social Computing》 2025年第2期75-94,共20页
Coaxing out desired behavior from pretrained models,while avoiding undesirable ones,has redefined Natural Language Processing(NLP)and is reshaping how we interact with computers.What was once a scientific engineering ... Coaxing out desired behavior from pretrained models,while avoiding undesirable ones,has redefined Natural Language Processing(NLP)and is reshaping how we interact with computers.What was once a scientific engineering discipline-in which building blocks are stacked one on top of the other-is arguably already a complex systems science-in which emergent behaviors are sought out to support previously unimagined use cases.Despite the ever increasing number of benchmarks that measure task performance,we lack explanations of what behaviors language models exhibit that allow them to complete these tasks in the first place.We argue for a systematic effort to decompose language model behavior into categories that explain cross-task performance,to guide mechanistic explanations and help future-proof analytic research. 展开更多
关键词 language model behavior emergent properties in ai system interpretability and analysis method
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