探究表征方式如何影响长期情感建模的可靠性，为纵向情感计算提供关键洞见。
arXiv:2608.07518v1 Announce Type: cross Abstract: Longitudinal, in-the-wild, wearable sensing yields day-level physiology, sleep, activity, and enviro…
百万用户与AI谈恋爱，这项研究揭开AI伴侣应用的隐藏风险
arXiv:2605.08093v2 Announce Type: replace-cross Abstract: The use of chatbots for various forms of companionship is growing rapidly, raising a myriad …
通过面部表情感知提示，让LLM辅导系统实时捕捉学生情绪，提升共情辅导效果。
arXiv:2604.15336v2 Announce Type: replace-cross Abstract: Large language models (LLMs) enable increasingly capable tutoring-style conversational agent…
提出Token-Region引导的交叉注意力融合方法，让多模态情感理解更精准
arXiv:2607.23493v1 Announce Type: new Abstract: Automated analysis of multimodal content on social networks has become a critical task for understandi…
用结构令牌给大模型“指路”，精准捕捉微表情动作单元，情绪解码又准又稳
arXiv:2603.08387v2 Announce Type: replace Abstract: Micro-expression Action Unit (AU) detection identifies localized AUs from subtle facial muscle act…
认知图与大模型跨界融合，BDEI路径精准预测恐慌情绪唤醒
arXiv:2606.15121v1 Announce Type: new Abstract: Predicting individual panic emotional arousal timing before manifestation is essential for proactive e…