首个评估大模型逻辑谬误鲁棒性的基准，揭示LLM在诡辩面前的漏洞，被ACL 2026收录。
arXiv:2606.31039v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulativ…
ICML 2026 新研究揭示：DoS 攻击下 MoE 大模型路由器出现严重不平衡，为鲁棒性设计提供新视角。
arXiv:2512.23995v2 Announce Type: replace-cross Abstract: Mixture-of-Experts architectures have become the standard for scaling large language models …
新方法LPDS通过保留逻辑改变实体，精准测试大模型鲁棒性，避免模型因细节变化而翻车。
arXiv:2605.15393v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly deployed to perform tasks with minimal human oversigh…