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Swiss-Knife: A Framework for Reconfigurable Externalised Multi-Objective Alignment at Decode Time
Decode-time alignment methods steer a frozen language model by scoring candidate continuations with an external reward and selecting the maximiser. We argue that this shared design is a single degenerate point in a much larger space. We introduce Swiss-Knife, a framework for externalised multi-objective alignment in which the alignment specification is a first-class runtime object: hot-swappable scoring blades, a batch normaliser, a pairwise aggregation operator, and a selection rule. Six axioms characterise the admissible aggregation operators, and we prove a representation theorem: every ope
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T01:31:53.000Z
First collected: 2026-09-26T06:21:50.202Z. This is not the publication date.