Bayesian In-Context Example Selection Improves Learning Performance Across Speech, Text, and Visual Modalities

Bayesian in-context example selection (ByCS) leverages inverse inference probability to identify high-quality in-context examples, leading to improved performance in speech recognition, text-based NLP, and visual question answering tasks.