Collaborative Personalized Preference Alignment for LLMs under Data Deficiency
Approximate Pareto Optimality learns shared aligner initializations for few-shot LLM personalization from 20 examples.
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Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization
Priority-Constrained Descent optimizes hierarchical objectives while limiting distortion of the primary gradient.