concept
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concept:facet-level-personality-controlFacet-Level Personality Control
The idea of controlling personality at the granularity of 30 NEO-PI facets rather than five broad dimensions
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Papers (1)
paper
Frameworks (1)
framework
- The primary novel framework introduced in the paper for learning facet-level personality control vectors
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.
- Distinct sub-expressions of a persona that shift over pretraining and vary by elicitation method
- do facet-level control vectors learned from one backbone transfer to other LLM architectures?question0.729Open question about transferability implicit in the two-backbone evaluation design
- Author's quality assessment of the newly released dataset based on classifier and human validation results
- The goal of mechanistically-grounded, reliable control of neural network behavior via activation interventions
- how can internal features be linked to reliable control of complex, behavior-level semantic attributes?question0.695Central challenge that the paper addresses.
- Control-theoretic framework being developed in neuroscience and robotics; proposed as applicable to understanding collective problem-solving in morphogenesis.
- Trained classifier used to validate dataset quality by measuring cross-dimension leakage in the constructed corpus
- Demonstrates fine-grained data filtering capability at the individual sample level