Abstract:Humans shift between different personas depending on social context. Large Language Models (LLMs) demonstrate a similar flexibility in adopting different personas and behaviors. Existing approaches, however, typically adapt such behavior through external knowledge such as prompting, retrieval-augmented generation (RAG), or fine-tuning. We ask: do LLMs really need external context or parameters to adapt to different behaviors, or do they already have such knowledge embedded in their parameters? In this work, we show that LLMs already contain persona-specialized subnetworks in their parameter space. Using small calibration datasets, we identify distinct activation signatures associated with different personas. Guided by these statistics, we develop a masking strategy that isolates lightweight persona subnetworks. Building on the findings, we further discuss: how can we discover opposing subnetwork from the model that lead to binary-opposing personas, such as introvert-extrovert? To further enhance separation in binary opposition scenarios, we introduce a contrastive pruning strategy that identifies parameters responsible for the statistical divergence between opposing personas. Our method is entirely training-free and relies solely on the language model's existing parameter space. Across diverse evaluation settings, the resulting subnetworks exhibit significantly stronger persona alignment than baselines that require external knowledge while being more efficient. Our findings suggest that diverse human-like behaviors are not merely induced in LLMs, but are already embedded in their parameter space, pointing toward a new perspective on controllable and interpretable personalization in large language models.
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Пьяный чиновник из крупного города покусал мужчину в туалете и забыл об этом20:49，更多细节参见搜狗输入法
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读好“无字书”，以此总结经验、汲取智慧。有些党员干部谈起“有字书”如数家珍，但在落实政策时却搞“上下一般粗”，导致好政策在基层水土不服，问题的根源就在于没有读好“无字书”。“无字书”是具体生动的社会现实，是人民群众的火热实践和创新智慧，写在广袤的大地上，写在改革发展的第一线。“十三五”165项、“十四五”102项重大工程项目的顺利推进实施，背后有接续规划的“有字书”之力，也有基层一线的实践探索之功。习近平总书记强调：“多向成功探索学习经验，多向人民群众学习智慧”。只有深入基层、走进群众，在街道小巷、田间地头接通地气、摸清下情，读懂改革发展的痛点难点，才能将理论之“矢”射中时代之“的”，将“有字书”上的政策举措，转化为因地制宜的精准对策。
Путин и Трамп выразили готовность к регулярному общению Ушаков: Путин и Трамп выразили готовность к регулярному общению，更多细节参见今日热点