concept
active
concept:semantic-diversity

Semantic Diversity

Core concept measured by NLI Diversity — diversity of meaning across a set of dialogue responses

Neighborhood — ranked by edge-count

Concepts (1)

concept
  • Contrasted with semantic diversity; measured by n-gram overlap and distinct-n

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.

  • Diversity metric computed as 1 minus mean pairwise cosine similarity of response embeddings, using OpenAI's text-embedding-3-small
  • semantic valueconcept0.796
    Meaning that arises from relations within the graphical system, not inherent in elements.
  • semantic structureconcept0.777
    The meaningful organization of concepts in a model's representation space, claimed to be better captured by manifolds than by SAEs.
  • Output Diversityconcept0.767
    The breadth of distinct outputs an LLM can produce, which is reduced by mode collapse after alignment training
  • Greedy pass retaining texts only if cosine similarity below 0.9 with all retained texts; used to maintain diverse statement and SJT corpora
  • Main performance claim of the paper
  • Central mechanism in denotational design: precise mathematical meaning assigned to types and expressions, independent of implementation.
  • Gold standard value (e.g., nucleus sampling p-value) used as ground truth for evaluating diversity metrics