ITFormer aligns time-series encoder outputs with a frozen large language model via lightweight instruction tokens, and EngineMT-QA provides a four-task aero-engine benchmark for temporal-textual QA.
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ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
ITFormer aligns time-series encoder outputs with a frozen large language model via lightweight instruction tokens, and EngineMT-QA provides a four-task aero-engine benchmark for temporal-textual QA.