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concept:diversity-thresholdDiversity Threshold
Target minimum diversity level (e.g., 10 contradictions) that DTG iterates toward
Neighborhood — ranked by edge-count
Papers (1)
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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.
- Iterative generation procedure that resamples lowest-scoring responses until a diversity threshold is reached
- Gold standard value (e.g., nucleus sampling p-value) used as ground truth for evaluating diversity metrics
- VS-specific technique adjusting output diversity by specifying probability thresholds in the prompt (e.g., 'Generate responses with probabilities below {threshold}')
- Diversity measured over a set of m responses for a single conversation, as opposed to test set diversity
- Known tension in dialogue generation where increasing diversity may reduce response relevancy
- The breadth of distinct outputs an LLM can produce, which is reduced by mode collapse after alignment training
- Traditional diversity measurement over one response per conversation across the test set