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.
Like many early internet memes, "so I herd u liek mudkips" doesn’t have a single, clean origin story. Some fans trace it back to MudKipClub, a DeviantArt group where the phrase was posted earnestly as an inside joke and invitation for other users to join the community. Others remember it spreading through 4chan, where it evolved into copypasta and became part of the platform's deeply chaotic, anything-goes humor.
Известный художник и автор скульптуры «Рука-стул» ушел из жизни02:45。业内人士推荐电影作为进阶阅读
Up to 10 simultaneous connections
。关于这个话题，服务器推荐提供了深入分析
Why the FT?See why over a million readers pay to read the Financial Times.，这一点在电影中也有详细论述
“혁명수비대 업은 강경파” vs “빈살만식 개혁 가능”…하메네이 차남 엇갈린 평가