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cross-attention 1model stability 1retrieval-augmented generation 1time series forecasting 1zero-shot learning 1

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20242026
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cs.LG2026

Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting

Seunghan Lee, Jaehoon Lee, Jun Seo +7

The paper introduces Cross-RAG, a retrieval-augmented generation framework for zero-shot time series forecasting that uses query‑retrieval cross‑attention to selectively attend to…