discrepancies
Inconsistencies or differences that arise between expected and observed outcomes, often used to identify areas for improvement in model predictions and to assess the quality of data and algorithms.
- AliO: Output Alignment Matters in Long-Term Time Series Forecasting
- Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
- Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
- miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward