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Minimally Invasive Steering Vector Optimization (MISVO), which penalizes interventions using the local KL geometry of the induced token distribution, achieves the highest mean reward in six of seven model--task settings, with diversity and coherence scores close to those of Best-of-N.
This work proposes a chance-constrained formulation for safety-preserving fine-tuning that limits the fraction of safety examples whose degradation relative to a reference model exceeds a prescribed threshold and develops a constraint-aware gradient descent method that treats the majorized constraint as a safe set in p...
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