Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.
Lingfeng ShenWeiting TanBoyuan ZhengDaniel KhashabiPublished in: EMNLP (Findings) (2023)
Keyphrases
- computational complexity
- success rate
- high accuracy
- classification accuracy
- computational cost
- evolutionary algorithm
- computational demands
- estimation accuracy
- highly efficient
- computational efficiency
- genetic algorithm
- trade off
- computer vision
- databases
- random selection
- selection criteria
- machine learning
- selection strategy
- data reduction
- learning algorithm
- test data
- sample size
- error rate
- information systems
- website
- similarity measure
- multiscale