method
active
method:char-rnn

Char-RNN

Recurrent neural networks trained character-by-character for text generation, early precursor.

Neighborhood — ranked by edge-count

Artifacts (1)

artifact

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.

  • Novel construct introduced by this paper: a hypothetical graph embedded in the time series of LLM representations, where each dimension is a node and latent connections are edges.
  • Karmanconcept0.686
    Buddhist concept of intentional action as a world-constructing force; linked to goal-directedness.
  • Distinct-Nmethod0.672
    Lexical diversity metric measuring the proportion of unique n-grams in persuadee responses within a dialogue
  • Alternative alignment metric compared in appendix; calculates longest common subsequence of nearest neighbor lists
  • Hand-written list of ~10 first-person character assertions used to define a desired persona for character training
  • The property that centers get their life from supporting larger centers, and larger centers are intensified by smaller ones, forming a recursive network.
  • Recurrent networksconcept0.665
    Networks with loop connections that can maintain internal state and exhibit dynamical attractors.
  • Edit k-NNmethod0.660
    Computes edit distance required to match nearest neighbors between two datasets, normalized by maximum edit distance