ParetoSlider conditions diffusion models on continuous preference weights to approximate the full Pareto front, providing dynamic control over multi-objective rewards at inference time.
Multiobjective evolution- ary algorithms: a comparative case study and the strength pareto approach.IEEE transactions on Evolutionary Com- putation, 3(4):257–271, 2002
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ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control
ParetoSlider conditions diffusion models on continuous preference weights to approximate the full Pareto front, providing dynamic control over multi-objective rewards at inference time.