concept
active
concept:cohesion-dcohesion ρd
Within-cluster tightness of target pattern representations.
Neighborhood — ranked by edge-count
Methods (1)
method
- Whitening of span embeddingsassociated_withPreprocessing step that uses dev-set covariance to standardize embedding scales before computing ρd and dr.
Concepts (3)
concept
- anchoring strength Sassociated_withComposite score S = ρd − dr − log k predicting anchoring success.
- Anchoring strength S = ρd - dr - log kassociated_withThe calibrated score measuring how effectively anchors bind target patterns; a predictive correlate of success.
- shot midpoint k50associated_withNumber of in-context exemplars to reach 50% accuracy in E2.
Artifacts (1)
artifact
- Main paper presenting UCCT and semantic anchoring framework.
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.
- Measures how tightly the target pattern PT clusters in representation space; one of three components of S
- Second key outcome variable hypothesized to vary with cultural wealth-sharing institutions.
- A property that makes a segment of space stand out as a center; determined by symmetry, connectedness, convexity, etc.
- Competing or cooperating with neighbours; a plant behaviour.
- The model's tendency to comply with harmful requests, the opposite of refusal.
- Strong claim that life/beauty is an objective property of the wholeness structure.
- The property of an AI being safe to shut down or modify; discussed in context of GPT.
- The goal of making model behavior match human values and intentions, often addressed during post-training.