Time Series Forecasting Benchmarks Need Scenario-Grounded Stress Testing
cs.AI
Submitted: 2026-10-02
Updated: 2026-10-02
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
- Chronos: Learning the Language of Time Series
- RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
- A decoder-only foundation model for time-series forecasting
- WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
- Monash Time Series Forecasting Archive
- MOMENT: A Family of Open Time-series Foundation Models
- Training Compute-Optimal Large Language Models
- Scaling Laws for Neural Language Models
- Sundial: A Family of Highly Capable Time Series Foundation Models
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Categorizing Variants of Goodhart's Law
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
- fev-bench: A Realistic Benchmark for Time Series Forecasting
- Emergent Abilities of Large Language Models
- TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
- Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
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