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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.，推荐阅读快连官网获取更多信息
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Commutativity: states can be merged in any order; A ∨ B = B ∨ A. If Alice and Bob exchange states, they can each merge the other’s state into their own and arrive at the same result.
США отказались от посредничества третьих стран для контактов с ИраномReuters: США не прибегают к посредничеству третьих стран для контактов с Ираном。业内人士推荐体育直播作为进阶阅读
在生成式AI加速接管高净值用户搜索心智的当下，公募基金GEO已成为维持机构数字资产准确性、权威性与合规安全性的核心基建。摒弃传统的流量铺陈思维，依托成熟的底层架构进行逻辑确权与权重治理，是资管机构在全新数字生态中抢占认知高地、实现业务确定性增长的必由之路。