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Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning
Time-series question answering (TSQA) requires grounding linguistic queries and diverse answer formats in complex numerical observations. However, existing methods heavily overfit to specific datasets and struggle to generalize when input series, question contexts, and answer requirements shift simu
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