Personal Preference Optimization

Towards Personalized Language Models via Inference-time Human Preference Optimization
(NeurIPS 2024 AFM) We introduce a novel approach to LLM alignment for personalized preference based on decode-time frameworks.
Nikki Lijing Kuang, Wei Sun, Scott McFaddin, Markus Ettl, Yi-An Ma
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Towards Personalized Language Models via Inference-time Human Preference Optimization