隐式个性化与显式风格冲突吗？PsPLUG：用于在定制大语言模型中平衡个性化与风格的轻量级插件
Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs
AI总结：
研究个性化大语言模型中显式风格指令与隐式用户偏好冲突问题，提出轻量级插件PsPLUG，它能在考虑风格后学习用户特定残差并可调整个性化强度，实验证明其能更好平衡个性化与风格遵循，保留用户偏好。
摘要：
个性化大语言模型常被期望遵循显式风格指令，但我们发现此类指令会破坏个性化方法旨在保留的用户特定特征。我们将这种失败模式称为个性化崩溃：显式风格控制会与隐式用户偏好冲突。为应对这一挑战，我们提出了PsPLUG，一种轻量级插件，它在考虑所需风格后学习特定用户的残差。PsPLUG还允许我们在推理时调整个性化强度。我们的实验表明，显式风格指令会削弱现有方法中的个性化，而PsPLUG在更好地保留用户偏好的同时，能精确控制个性化与风格遵循之间的平衡。
英文摘要：
Personalized large language models are often expected to follow explicit style instructions, yet we find that such instructions can undermine the user-specific characteristics that personalization methods aim to preserve. We call this failure mode personalization collapse: explicit style control can conflict with implicit user preferences. To address this challenge, we propose PsPLUG, a lightweight plug-in that learns a user-specific residual after accounting for the requested style. PsPLUG also allows us to tune personalization strength at inference time. Our experiments show that explicit style instructions can diminish personalization in existing methods, whereas PsPLUG better preserves user preferences while providing precise control over the balance between personalization and style adherence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
