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Role-playing enables large language models (LLMs) to engage users in immersive and personalized interactions, but it also introduces significant safety risks.
Language models are few-shot learners
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Lora: Low-rank adaptation of large language models
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Large language models are zero-shot reasoners
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Training language models to follow instructions with human feedback
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Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Rottger, Dan Jurafsky, Tatsunori Hashimoto, and James Zou. 2023 · 2023
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Personapkt: Building personalized dialogue agents via parameter-efficient knowledge transfer
Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang, Xiaohu Liu, and Chenlei Guo. 2023 · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023
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Character-llm: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023 · 2023
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Shadow alignment: The ease of subverting safely-aligned language models
Xianjun Yang, Xiao Wang, Qi Zhang, Linda Petzold, William Yang Wang, Xun Zhao, and Dahua Lin. 2023 · 2023
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Universal and transferable adversarial attacks on aligned language models
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Defending against unforeseen failure modes with latent adversarial training
Stephen Casper, Lennart Schulze, Oam Patel, and Dylan Hadfield-Menell. 2024 · 2024
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Safety-aware fine-tuning of large language models
Hyeong Kyu Choi, Xuefeng Du, and Yixuan Li. 2024 · 2024
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Towards secure tuning: Mitigating security risks arising from benign instruction fine-tuning
Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, and Bing Qin. 2024 · 2024
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Mimicking user data: On mitigating fine-tuning risks in closed large language models
Can a.i. be blamed for a teen’s suicide?
Kevin Roose. 2024 · 2024
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Seal: Safety-enhanced aligned llm fine-tuning via bilevel data selection
Han Shen, Pin-Yu Chen, Payel Das, and Tianyi Chen. 2024 · 2024
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Navigating the OverKill in large language models
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, and Dahua Lin. 2024 · 2024
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Gemma: Open models based on gemini research and technology
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RoleLLM: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
Noah Wang, Z.y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, and Junran Peng. 2024a · 2024
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Francisco Eiras, Aleksandar Petrov, Phillip HS Torr, M Pawan Kumar, and Adel Bibi. 2024 · 2024
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What is in your safe data? identifying benign data that breaks safety
Luxi He, Mengzhou Xia, and Peter Henderson. 2024 · 2024
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Beyond pretend-reality dualism: Frame analysis of llm-powered role play with social agents
Sviatlana Höhn, Jauwairia Nasir, Daniel C Tozadore, Ali Paikan, Pouyan Ziafati, and Elisabeth André. 2024 · 2024
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Safe lora: the silver lining of reducing safety risks when fine-tuning large language models
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang. 2024 · 2024
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Beavertails: Towards improved safety alignment of llm via a human-preference dataset
Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, and Yaodong Yang. 2024 · 2024
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Self-prompt tuning: Enable autonomous role-playing in llms
Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xin Zhou, Jiaming Zhou, and Haoqin Sun. 2024 · 2024
Cited alongside, same era.
Safety layers in aligned large language models: The key to llm security
Shen Li, Liuyi Yao, Lan Zhang, and Yaliang Li. 2024 · 2024
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Autodan: Generating stealthy jailbreak prompts on aligned large language models
Xiaogeng Liu, Nan Xu, Muhao Chen, and Chaowei Xiao. 2024 · 2024
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Jailbreaking as a reward misspecification problem
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, and Lingpeng Kong. 2024 · 2024
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An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al. 2024 · 2024
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Neeko: Leveraging dynamic LoRA for efficient multi-character role-playing agent
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, and Liehuang Zhu. 2024 · 2024
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Gpt-4 is too smart to be safe: Stealthy chat with llms via cipher
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, and Zhaopeng Tu. 2024 · 2024
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Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, and Tat-Seng Chua. 2024 · 2024
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On prompt-driven safeguarding for large language models
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, and Nanyun Peng. 2024 · 2024
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ROSE doesn‘t do that: Boosting the safety of instruction-tuned large language models with reverse prompt contrastive decoding
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, and Dacheng Tao. 2024 · 2024
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CharacterGLM: Customizing social characters with large language models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, JiaMing Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, and Minlie Huang. 2024a · 2024
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Gui-r1: A generalist r1-style vision-language action model for gui agents
Xiaobo Xia and Run Luo. 2025 · 2025
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Adasteer: Your aligned llm is inherently an adaptive jailbreak defender
Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, et al. 2025 · 2025
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