ResearchReported
A Princeton Researcher Proposes Recurrent Looped TransformerA neural-network architecture using attention to relate parts of an input.Read glossary entry (RLT) that Carries Decoder State across Every TokenA unit a model processes, often a word fragment or punctuation.Read glossary entry, Fixing 96 Blocks per Token with Unbounded Temporal Depth
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1 publisherMarkTechPostPublisher reporting · 13 Sept 2026
A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth ↗
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