papersSEP 11 04:00 UTC
Activation-Based Active Learning Tested for In-Context Example Selection
A new arXiv paper examines whether internal transformer activations can guide the selection of in-context examples for large language models. The authors note that earlier work applied active learning to in-context sample selection, but without drawing on recent findings about how activations encode information. The study reports mixed results and lessons from testing this activation-based approach.