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1.What are the two main obstacles faced by preference-based many-objective optimization, according to the abstract?

2.How does the proposed Bayesian framework model latent preference archetypes?

3.What is the primary goal of the 'hybrid queries' designed within the framework?

4.What kind of guarantee does the mixture-aware Bayesian optimization procedure provide?