多语言LLM中指令层次遵从性因语言而异，揭示语言对模型安全对齐的影响。
arXiv:2607.23545v1 Announce Type: new Abstract: Instruction hierarchy (IH) requires models to prioritize instructions by source, ensuring that higher-…
大模型幻觉信号能否跨语言、跨领域通用？这项研究直接检验内部表征的泛化能力，为幻觉检测提供新视角。
arXiv:2607.04029v1 Announce Type: new Abstract: Recent hallucination detection techniques in large language models (LLMs) focus on directly extracting…
被ICML 2026收录，提出针对低资源语言的LLM鲁棒多语言适配方法，增强跨语言泛化能力。
arXiv:2510.14466v3 Announce Type: replace Abstract: Large language models (LLMs) continue to struggle with low-resource languages, primarily due to li…
大模型面对同一概念的不同语言或编码形式时，会表现出“分隔化”现象，揭示其泛化能力的缺陷。
arXiv:2605.19284v1 Announce Type: cross Abstract: In the training data used by large language models (LLMs), the same latent concept is often presente…