Dongyu Liu

ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecasting

ConceptTS is introduced, an interpretable forecasting framework that organizes its predictions around named, human-readable concepts that achieves accuracy competitive with strong black-box baselines while producing semantically meaningful concept activations.