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method:joint-tuning-curvesJoint Tuning Curves
Method of rotating dataset examples to show gradual response falloff and orientation tiling across a neuron family
Neighborhood — ranked by edge-count
Papers (1)
paper
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.
- Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
- OpenAI's internal RL fine-tuning API used to train models with graders rewarding correct or incorrect responses
- The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.
- First post-training stage; shown to suppress only Impolite persona while boosting others
- The literature documenting how fine-tuning can compromise safety alignment even without malicious intent
- Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
- Re-running probabilistic bisection on each fine-tuned checkpoint to normalize first-attempt difficulty
- Training procedure that consistently increases HH-intent strength and consistency across model families.