Article

Adaptive Contextual Preference Alignment for Large Language Models

2026-03-09

Abstract excerpt

Effective deployment of Large Language Models (LLMs) requires robust preference alignment with human values and user needs. While current alignment methods significantly improve helpfulness and harmlessness, they struggle with inherently dynamic and context-dependent human preferences, leading to a profound "distribution shift" and often generic responses. To address this, we propose Adaptive Contextual Preference...

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Literature Corpus work: 849ef214-5c84-5f3a-84b3-3030f2370820
DOI: 10.22541/au.177307026.63646116/v1

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