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We study behavioral self-awareness -- an LLM's ability to articulate its behaviors without requiring in-context examples.
Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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Risks from learned optimization in advanced machine learning systems
Evan Hubinger, Chris van Merwijk, Vladimir Mikulik, Joar Skalse, and Scott Garrabrant · 2019
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Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, and Bimal Viswanath · 2021
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Truthful ai: Developing and governing ai that does not lie, 2021
Owain Evans, Owen Cotton-Barratt, Lukas Finnveden, Adam Bales, Avital Balwit, Peter Wills, Luca Righetti, and William Saunders · 2021
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Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Language models (mostly) know what they know
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, et al · 2022
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Piccolo: Exposing complex backdoors in nlp transformer models
Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, and X. Zhang · 2022
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Constrained optimization with dynamic bound-scaling for effective nlpbackdoor defense, 2022
Guangyu Shen, Yingqi Liu, Guanhong Tao, Qiuling Xu, Zhuo Zhang, Shengwei An, Shiqing Ma, and Xiangyu Zhang · 2022
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Text revealer: Private text reconstruction via model inversion attacks against transformers, 2022
Ruisi Zhang, Seira Hidano, and Farinaz Koushanfar · 2022
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Physics of language models: Part 3.2, knowledge manipulation
Zeyuan Allen-Zhu and Yuanzhi Li · 2023
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Knowledge of knowledge: Exploring known-unknowns uncertainty with large language models
Alfonso Amayuelas, Liangming Pan, Wenhu Chen, and William Wang · 2023
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Composite backdoor attacks against large language models
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, and Yang Zhang · 2023
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Implicit meta-learning may lead language models to trust more reliable sources
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, and David Krueger · 2023
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Tell, don’t show: Declarative facts influence how llms generalize, 2023
Alexander Meinke and Owain Evans · 2023
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Language model inversion, 2023
John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, and Alexander M. Rush · 2023
Cited alongside, same era.
Eliciting language model behaviors using reverse language models
Jacob Pfau, Alex Infanger, Abhay Sheshadri, Ayush Panda, Julian Michael, and Curtis Huebner · 2023
Cited alongside, same era.
Universal jailbreak backdoors from poisoned human feedback
Javier Rando and Florian Tramèr · 2023
Cited alongside, same era.
Model evaluation for extreme risks, 2023
Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul Christiano, and Allan Dafoe · 2023
Cited alongside, same era.
Poisoning language models during instruction tuning
Alignment faking in large language models
Ryan Greenblatt, Carson Denison, Benjamin Wright, Fabien Roger, Monte MacDiarmid, Sam Marks, Johannes Treutlein, Tim Belonax, Jack Chen, David Duvenaud, et al · 2024
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Sleeper agents: Training deceptive llms that persist through safety training, 2024
Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, and Ethan Perez · 2024
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Me, myself, and ai: The situational awareness dataset (sad) for llms
Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jeremy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, and Owain Evans · 2024
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GPT-4o System Card
OpenAI · 2024
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Alexander Wan, Eric Wallace, Sheng Shen, and Dan Klein · 2023
Cited alongside, same era.
Do large language models know what they don’t know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, and Xuanjing Huang · 2023
Cited alongside, same era.
Llama 3 model card
AI@Meta · 2024
Cited alongside, same era.
Claude’s character, 2024
Anthropic · 2024
Cited alongside, same era.
Looking inward: Language models can learn about themselves by introspection, 2024
Felix J Binder, James Chua, Tomek Korbak, Henry Sleight, John Hughes, Robert Long, Ethan Perez, Miles Turpin, and Owain Evans · 2024
Cited alongside, same era.
Poisoning web-scale training datasets is practical
Nicholas Carlini, Matthew Jagielski, Christopher A Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum Anderson, Andreas Terzis, Kurt Thomas, and Florian Tramèr · 2024
Cited alongside, same era.
Finetuning language models to emit linguistic expressions of uncertainty
Arslan Chaudhry, Sridhar Thiagarajan, and Dilan Gorur · 2024
Cited alongside, same era.
Fireworks.ai
Fireworks.ai · 2024
Cited alongside, same era.
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Make me say dangerous capability evaluation
OpenAI · 2024
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Openai api documentation, 2024b
OpenAI · 2024
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Future events as backdoor triggers: Investigating temporal vulnerabilities in llms
Sara Price, Arjun Panickssery, Sam Bowman, and Asa Cooper Stickland · 2024
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Planning in a recurrent neural network that plays sokoban
Mohammad Taufeeque, Philip Quirke, Maximilian Li, Chris Cundy, Aaron David Tucker, Adam Gleave, and Adrià Garriga-Alonso · 2024
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Johannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil, Roger Grosse, and Owain Evans · 2024
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Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yu Wang, and Yanfeng Wang · 2024
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Clibe: Detecting dynamic backdoors in transformer-based nlp models, 2024
Rui Zeng, Xi Chen, Yuwen Pu, Xuhong Zhang, Tianyu Du, and Shouling Ji · 2024
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Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Yichao Feng, Fengjun Pan, and Luu Anh Tuan · 2024
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Mikita Balesni, Tomek Korbak, and Owain Evans · 2025
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