2025年3月7日 · To address these issues, we introduce S2S-Arena, a novel arena-style S2S benchmark that evaluates instruction-following capabilities with paralinguistic information in …

2021年10月26日 · In this paper, we present a sequence-to-sequence fine-tuning toolkit s2s-ft, which adopts pretrained Transformers for conditional generation tasks. Inspired by UniLM, we …

2024年7月30日 · This paper introduces FuXi Subseasonal-to-Seasonal (FuXi-S2S), a machine learning model that provides global daily mean forecasts up to 42 days, encompassing five …

2023年12月15日 · This paper introduces FuXi Subseasonal-to-Seasonal (FuXi-S2S), a machine learning model that provides global daily mean forecasts up to 42 days, encompassing five …

2018年3月12日 · The sub-seasonal to seasonal prediction project (S2S) is a 5-year project, established in 2013 by the World Weather Research Program (WWRP) and the World...

2017年1月1日 · Three important aspects of the S2S database—namely, that it contains 1) an archive of real-time forecasts (delayed 3 weeks) and 2) accompanying reforecast sets, and 3) …

This is the official repository for the FuXi-S2S paper. A machine learning model that outperforms conventional global subseasonal forecast models. by Lei Chen, Xiaohui Zhong, Jie Wu, …

2018年2月21日 · This paper provides a summary of the Workshop on Sub-Seasonal to Seasonal (S2S) Predictability of Extreme Weather and Climate, held at Columbia University, December …

2025年3月10日 · In this paper, we propose the S2S-Arena for benchmarking speech models, a speech2speech evaluation protocol on instruction following ability with paralinguistic …

2018年12月18日 · An influential National Academies of Science report recommended improvements on subseasonal to seasonal (S2S) predictions that were exclusively directed at …