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Reasoning

Transformers Meet Neural Algorithmic Reasoners

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Transformers Meet Neural Algorithmic Reasoners
The curator’s take

a new hybrid architecture that enables tokens in the LLM to cross-attend to node embeddings from a GNN-based neural algorithmic reasoner (NAR); the resulting model, called TransNAR, demonstrates improvements in OOD reasoning across algorithmic tasks

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