Названа стоимость «эвакуации» из Эр-Рияда на частном самолете22:42
«Они сами заварили эту кашу». Китай начал давить на Иран из-за конфликта с США. Что требует Пекин от партнера?19:31
。体育直播对此有专业解读
Москалькова пояснила, что от Киева поступили списки с гражданами, которые совершили противоправные действия в РФ. Именно на них и хотят обменять россиян, добавила она. Такое требование, по ее мнению, недопустимо.
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.。业内人士推荐Safew下载作为进阶阅读
19:25, 2 марта 2026Россия。关于这个话题，体育直播提供了深入分析
旅客自带行李的运输期间适用前款规定。旅客自带行李由承运人或者其受雇人、代理人接收尚未交还给旅客的，运输期间包括旅客在港站内、码头上或者在港口其他设施内的时间。