Multi-Objective Control trains a single LLM as a preference-conditioned policy using multi-objective optimization in RLHF to produce outputs in user-specified regions of the Pareto front.
13 Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu
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One Model for All: Multi-Objective Controllable Language Models
Multi-Objective Control trains a single LLM as a preference-conditioned policy using multi-objective optimization in RLHF to produce outputs in user-specified regions of the Pareto front.