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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.

arXiv activation-based active learning active learning in-context learning large-language-models transformer activations

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLActivation-Based Active Learning for In-Context Learning: Challenges and Insights ↗SEP 11 04:00 UTC

arXiv cs.LGActivation-Based Active Learning for In-Context Learning: Challenges and Insights ↗SEP 11 04:00 UTC