AI RESEARCH
Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model
arXiv CS.AI
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ArXi:2601.18858v2 Announce Type: replace-cross Compositional generalization-the ability to interpret novel combinations of familiar components-remains a persistent challenge for neural networks. Behavioral evaluations reveal \emph{when} models fail but offer limited insight into \emph{why} failures arise at the representational level. We