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Zhijian Xu

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#machine learning Preprint Sep 2025

Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting

Fidel-TS is introduced, a new large-scale benchmark built from the core principles of high-fidelity benchmarking, focusing on data sourcing integrity, leak-free design, and structural clarity, to address the evaluation of time series forecasting models.

Zhijian Xu, Wanxu Cai, Xilin Dai et al. · 8 citations
2025

Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding

Grounded Reasoning in Dependency (GRiD) is introduced, a novel dependency-aware reasoning framework that explicitly grounds reasoning steps in structured knowledge that substantially improves reasoning accuracy, consistency, and faithfulness compared to recent state-of-the-art structured reasoning methods.

Xiangyu Wen, Min Li, Junhua Huang et al. · 2 citations

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