Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer
健康基础模型中的涌现符号结构:提取、对齐与跨模态迁移
机构 * Apple(苹果公司)
AI总结 本文提出一种训练后框架,通过分解冻结嵌入以提取可解释的符号,用于对齐嵌入空间。在PPG和加速度计数据上验证,发现符号能选择性关联健康状况和生理属性,并支持跨模态迁移。
Comments 8 pages, Mechanistic Interpretability Workshop at the 43rd International Conference on Machine Learning, 4 main figures
Journal ref Mechanistic Interpretability Workshop at the 43 rd International Conference on Machine Learning, Seoul, South Korea, 2026