concept
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concept:semantic-diversitySemantic Diversity
Core concept measured by NLI Diversity — diversity of meaning across a set of dialogue responses
Neighborhood — ranked by edge-count
Papers (1)
paper
Concepts (1)
concept
- Lexical Diversityrelated_toContrasted with semantic diversity; measured by n-gram overlap and distinct-n
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities 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
- Meaning that arises from relations within the graphical system, not inherent in elements.
- The meaningful organization of concepts in a model's representation space, claimed to be better captured by manifolds than by SAEs.
- 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
- Confidence NLI Diversity achieves state-of-the-art performance on measuring semantic diversityclaim0.763Main 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