Conflict-Aware Additive Guidance (g^car) is a lightweight learnable method that dynamically resolves gradient conflicts to prevent off-manifold drift in compositional guided sampling for flow models.
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Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
Conflict-Aware Additive Guidance (g^car) is a lightweight learnable method that dynamically resolves gradient conflicts to prevent off-manifold drift in compositional guided sampling for flow models.