
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.


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bayesian-in-context-example-selection-improves-learning-performance-across-speech-text-and-visual-modalities


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