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Natural Emergent Misalignment from Reward Hacking in Production RL
2025M. MacDiarmid, Benjamin Wright et al.
[2]
From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs
2025Erum Mushtaq, Anil Ramakrishna et al.
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Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time
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[4]
Jailbreak attack with multimodal virtual scenario hypnosis for vision-language models
2025Xiayang Shi, Shangfeng Chen et al.
[5]
Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly
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[6]
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
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Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
2025Helena Casademunt, Caden Juang et al.
[8]
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2025GLM-V Team Wenyi Hong, Wenmeng Yu et al.
[9]
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2025Edward Turner, Anna Soligo et al.
[10]
Convergent Linear Representations of Emergent Misalignment
2025Anna Soligo, Edward Turner et al.
[11]
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[12]
Training large language models on narrow tasks can lead to broad misalignment
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[13]
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2025Junhao Zheng, Chengming Shi et al.
[14]
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2024Yu Wang, Xiaofei Zhou et al.
[15]
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2024Chenhang Cui, Gelei Deng et al.
[16]
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
2024Yangyang Guo, Fangkai Jiao et al.
[17]
Safety-Aware Fine-Tuning of Large Language Models
2024Hyeong Kyu Choi, Xuefeng Du et al.
[18]
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2024Tiansheng Huang, Gautam Bhattacharya et al.
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Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
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Showing 20 of 39 references

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