Overview

Forecasting benchmarks test how well models predict future values or events in settings such as energy, weather, health, finance, and prediction markets. They compare classical statistical methods, machine-learning models, time-series foundation models, and language-model agents using fixed test sets, rolling or live evaluations, and zero-shot or fine-tuned setups. Stronger benchmarks use leakage controls, simple baselines, probabilistic scores, and tests across changing regimes, missing data, extreme events, or downstream decisions. A central challenge is that model rankings can change with the dataset, evaluation protocol, metric, or operating conditions, so low average error alone does not establish reliable or useful forecasts.

Latest papers

CardsList

227 papers37 papers in the last four weeks, up 32% on the four weeks before. 0.2% of all new papers.

  1. ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins

    Mar 6, 2026Yichen Zhou, Jonathan Golob, Amir Karimi +2Protein Language ModelsProtein Fitness Prediction

  2. How do standard time series forecasting benchmarks translate to finance? A broad study of risk adjusted performance

    Mar 2, 2026Adir Saly-Kaufmann, Kieran Wood, Jan-Peter Calliess +1Financial Time SeriesTime Series Forecasting

  3. PreScience: A Dataset and Benchmark for Scientific Forecasting

    Feb 24, 2026Anirudh Ajith, Amanpreet Singh, Jay DeYoung +7AI for ScienceForecasting Benchmarks

  4. R2^2Energy: A Large-Scale Benchmark for Robust Renewable Energy Forecasting under Diverse and Extreme Conditions

    Feb 17, 2026Zhi Sheng, Yuan Yuan, Guozhen Zhang +1Forecasting BenchmarksTime Series Forecasting

  5. CAMEL: An ECG Language Model for Forecasting Cardiac Events

    Feb 17, 2026Neelay Velingker, Alaia Solko-Breslin, Mayank Keoliya +9Electrocardiogram Foundation ModelsElectrocardiogram Interpretation

  6. Adaptive Automatic Model Selection for Demand Forecasting under Heterogeneous Demand Patterns

    Feb 15, 2026Adolfo González, Víctor ParadaTime Series ForecastingForecasting Benchmarks

  7. TKGB: A Comprehensive Benchmark for Temporal Knowledge Graph Forecasting

    Feb 9, 2026Jiasheng Zhang, Zhengpin Li, Hao Li +3Forecasting BenchmarksTemporal KGs

  8. OccStress: Stress-Testing the 4D Occupancy Forecasting Chain

    Dec 17, 2025Yu Zheng, Jie Hu, Jiaqi Xiong +4Forecasting Benchmarks3D Occupancy Prediction

  9. Scriboora: Rethinking Human Pose Forecasting

    Nov 19, 2025Daniel Bermuth, Alexander Poeppel, Wolfgang ReifForecasting BenchmarksHuman Pose Estimation

  10. Measurement-Driven Early Warning for Resilient 5G NSA Railway Networks

    Nov 12, 2025Po-Heng Chou, Da-Chih Lin, Hung-Yu Wei +2Wireless CommunicationsForecasting Benchmarks

  11. From Leakage to Fidelity: Reliable Benchmarking for Temporal Cascade Prediction

    Oct 29, 2025Jie Peng, Rui Wang, Qiang Wang +4Forecasting BenchmarksTemporal Data Leakage

  12. fev-bench: A Realistic Benchmark for Time Series Forecasting

    Sep 30, 2025Oleksandr Shchur, Abdul Fatir Ansari, Caner Turkmen +5Benchmark DesignTime Series Forecasting

  13. Glucose-ML: A collection of longitudinal diabetes datasets for development of robust AI solutions

    Jul 18, 2025Temiloluwa Prioleau, Baiying Lu, Yanjun CuiForecasting BenchmarksBlood Glucose Forecasting

  14. CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities

    Jun 10, 2025Hugo Porta, Emanuele Dalsasso, Jessica L. McCarty +1Wildfire ForecastingForecasting Benchmarks