method
active
method:vs-multi

VS-Multi

A VS variant that generates k responses with probabilities across multiple conversation turns for additional diversity

Neighborhood — ranked by edge-count

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.

  • VS-Standardmethod0.787
    The baseline variant of Verbalized Sampling that asks for k responses with their probabilities in a single LLM call
  • Versus-Relationconcept0.765
    Ternary relation xy|z defined on leaves of a tree as z ≰ x ∨ y; encodes the structure of evolutionary trees.
  • Multi Informationconcept0.751
    Multivariate information transmission (McGill 1954); a measure of total dependence among variables.
  • Multiple Viewsconcept0.748
  • V valuesconcept0.743
    In attention, value vectors that carry the information future positions should receive.
  • The paper's proposed training-free prompting strategy that prompts the model to verbalize a probability distribution over a set of responses rather than generating a single response
  • Modus Vivendiconcept0.728
    Strategic compromises from power rather than principle; the paper contrasts this unfavorably with overlapping consensus.
  • Me Versus Weconcept0.727