Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters.
Manikanta LoyaDivya Anand SinhaRichard FutrellPublished in: CoRR (2023)
Keyphrases
- hyperparameters
- decision making
- model selection
- cross validation
- bayesian inference
- closed form
- random sampling
- bayesian framework
- prior information
- support vector
- gaussian process
- maximum a posteriori
- noise level
- sample size
- em algorithm
- maximum likelihood
- gaussian processes
- data mining
- missing values
- incomplete data
- incremental learning
- regularization parameter
- grid search
- parameter settings
- data analysis
- learning algorithm
- semi supervised