🔗 Who cites «Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment»

1. The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMsFindings of the Association for Computational LinguisticsOmar Mahmoud, Ali Khalil, Thommen George Karimpanal, et al.2026 · 2 citations
2. Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience ReplayFindings of the Association for Computational LinguisticsHao Wang, Yanting Wang, Hao Li, et al.2026 · 1 citation
3. Safeguarding LLM Fine-tuning via Push-Pull Distributional AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haozhong Wang, Zhuo Li, Yibo Yang, et al.2026
4. SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, et al.2026

5 more papers of our library cite it; they have no page here yet.

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