Who cites «Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training»
- LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
- SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.2025 · 9 citations
- HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
- Too Good to be Bad: On the Failure of LLMs to Role-Play VillainsFindings of the Association for Computational LinguisticsZihao Yi, Qingxuan Jiang, Ruotian Ma, et al.2026 · 3 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/yuan-2025-refuse-whenever-you-feel-unsafe/cited-by/