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LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series
LLM预训练的隐藏能力：学习到的数据流形可跨模态迁移至时间序列任务，揭示通用表征机制。
arXiv:2605.20449v1 Announce Type: new Abstract: Can language-pretrained transformers become effective time-series forecasters, and why? In this paper,…