DARC is a retraining-free inference-time method that frames response selection as distributionally robust optimization to reduce disagreement and tail risk under heterogeneous preferences.
Good balance for a sensitive question. It lays out the mainstream legal view while still acknowledging that there is real debate about administrative scope and overreach
1 Pith paper cite this work. Polarity classification is still indexing.
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DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
DARC is a retraining-free inference-time method that frames response selection as distributionally robust optimization to reduce disagreement and tail risk under heterogeneous preferences.