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Cross-Model Personality Vector Transfer: Enabling Large Language Models of Different Architectures to Share 'Personality'

A groundbreaking study achieves cross-architecture personality vector transfer, extracting personality feature vectors from Qwen2.5-7B and successfully applying them to GPT-OSS 20B, opening a new path for behavioral control of large language models.

人格向量模型迁移Qwen2.5GPT-OSS行为控制模型对齐表征学习
Published 2026-05-01 05:37Recent activity 2026-05-01 05:47Estimated read 1 min
Cross-Model Personality Vector Transfer: Enabling Large Language Models of Different Architectures to Share 'Personality'
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Section 01

导读 / 主楼:Cross-Model Personality Vector Transfer: Enabling Large Language Models of Different Architectures to Share 'Personality'

Introduction / Main Post: Cross-Model Personality Vector Transfer: Enabling Large Language Models of Different Architectures to Share 'Personality'

A groundbreaking study achieves cross-architecture personality vector transfer, extracting personality feature vectors from Qwen2.5-7B and successfully applying them to GPT-OSS 20B, opening a new path for behavioral control of large language models.