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News/Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like Models
arxiv
PublishedOctober 31, 2026 at 4:00 AM

Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like Models

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arXiv:2610.39016v1 Announce Type: cross Abstract: Compositional generalization remains a persistent limitation of transformer language models: even when a model learns to combine known facts correctly in-distribution (ID), the same compositional mechanism may fail when applied to out-of-distribution

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