Cognitively Decoupled Meta-Induction for Out-of-Distribution Generalization.

arXiv:2610.25749v1 Announce Type: cross Abstract: In-context learning (ICL) tackles downstream tasks conditioned on demonstrations. This paradigm relies heavily on neighbor-based matching between queries and demonstrations, limiting out-of-distribution (OOD) p