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Honorable Mentions

Также Франция разместила в ОАЭ сотни военнослужащих военно-морского флота, военно-воздушных сил и сухопутных войск. Ее истребители Rafale базируются на базе Дафра недалеко от Абу-Даби. По словам министра, они проводят операции по обеспечению безопасности воздушного пространства над французскими базами.

How AI fak。关于这个话题,体育直播提供了深入分析

06:56, 3 марта 2026Наука и техника

Последние новости。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读

Американск

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.。关于这个话题,搜狗输入法2026提供了深入分析

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