AI RESEARCH
Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models
arXiv CS.LG
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ArXi:2605.03609v1 Announce Type: cross Large language models often display heterogeneous moral preferences across settings. We study inference-time steering toward a desired ethical framework while preserving general competence. We present Convergent-Divergent Routing, which traces and edits minimal branch points inside transformer blocks where ethical-framework-related pathways first converge and then diverge. Gating non-target branches at these loci blocks the downstream propagation while leaving upstream computations intact.