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framework:universal-transformers

Universal Transformers

Early architecture reusing same transformer block for multiple iterations, precursor to looped LLMs

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Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Two-layer transformer with rotary positional encodings used in numeric task experiments.
  • Neural network architecture based on attention, commonly used in large language models
  • unityconcept0.722
    The indivisible oneness, meltedness that is the source of life; it cannot be described as a structure because it is pure one.
  • A transformer with no attention layers; shown to model bigram statistics via T = W_U W_E
  • Signal Transformerconcept0.711
    Core abstraction in Fruit: pure function mapping signals to signals; enables compositional GUI definitions.
  • A model that frames RL as sequence modeling, SOTA from random trajectories.
  • Spontaneously reported experience of multiple simultaneous processing streams, observed even in base models.
  • The transformer version directly analogous to TEM, introduced in this paper, offering dramatic performance improvements.