intrinsic curiosity

Can In-Context Learning Enable Efficient Data Exploration for Enterprise AI?

A research paper investigates whether in-context learning (ICL) can enable intrinsic curiosity—automated data selection—without costly gradient updates. The authors prove that in general Markov decision processes, ICL-based rewards cannot unbiasedly estimate learning progress, but in non-temporal settings like active learning, they succeed. Controlled experiments validate the theory.