联邦蒸馏遇上数据分布偏移？域感知代理方案给出稳健新解，跨域协作更可靠。
arXiv:2608.08525v1 Announce Type: new Abstract: Federated Learning is a distributed machine learning paradigm that trains a global model by aggregatin…
同人小说子流派竟成LLM通用越狱新招——揭示对齐模型的语言漏洞。
arXiv:2606.04483v1 Announce Type: new Abstract: Existing jailbreaks against aligned LLMs are discrete artifacts whose surface forms are easy to finger…
用图大语言模型破解药物协同预测的分布外泛化难题，KDD 2026新方法。
arXiv:2605.30247v1 Announce Type: new Abstract: Drug synergy prediction (DSP) aims to identify efficacious drug combinations under various cellular co…
测试时训练首次应用于监督因果学习，破解分布外泛化难题的新范式。
arXiv:2605.30015v1 Announce Type: cross Abstract: Supervised Causal Learning (SCL) has shown promise in causal discovery by framing it as a supervised…
早期高频信息注入策略提升几何敏感型分布外检测性能，方法简洁有效，值得关注。
arXiv:2605.20728v1 Announce Type: new Abstract: Post-hoc OOD detectors score logits or features after training, so their success depends on the geomet…