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…
纵向双语多方社交数据集，为建模真实对话中的社会动态提供全新基准。
arXiv:2608.01724v1 Announce Type: cross Abstract: Group conversations are fundamental to human collaboration, yet standard large language models (LLMs…
追踪开源聊天LLM十二个版本的信任度变化，揭示模型行为随时间漂移的潜在风险
arXiv:2607.02587v1 Announce Type: cross Abstract: Model cards quote trust-benchmark scores without recording when they were measured, and the same num…
用机器学习量化全球主要经济体宜居指数，纵向追踪揭示生活品质变化趋势，值得关注。
arXiv:2502.06866v3 Announce Type: replace-cross Abstract: The drastic changes in the global economy, geopolitical conditions, and disruptions such as …
纵向研究揭示AI集成学习管理系统如何从中学持续提升学业表现，直到高中及更远阶段
arXiv:2606.07544v1 Announce Type: cross Abstract: Middle school is a key window for building core academic skills and the learning routines students c…
首个大规模人类呼吸道病毒免疫接种纵向基因表达数据集，助力系统免疫学研究。
arXiv:2505.14725v2 Announce Type: replace-cross Abstract: Respiratory viral infections pose a global health burden, yet the cellular immune mechanisms…
首个纵向专注冥想脑电图数据集与基准，助力冥想神经机制研究。
arXiv:2605.22893v1 Announce Type: cross Abstract: We introduce a novel Longitudinal Focused Attention Meditation Electroencephalography (L-FAME) datas…