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A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild.
Summary statement of the asilomar conference on recombinant dna molecules
Paul Berg, David Baltimore, Sydney Brenner, Richard O Roblin, and Maxine F Singer · 1975
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Scaling: Wind tunnel to flight
Dennis M Bushnell · 2006
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Key concepts of clinical trials: a narrative review
Craig A Umscheid, David J Margolis, and Craig E Grossman · 2011
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Survey of microarchitectural side and covert channels, attacks, and defenses
Jakub Szefer · 2019
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Formal scenario-based testing of autonomous vehicles: From simulation to the real world
Daniel J Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, and Shalin Mehta · 2020
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Measuring progress on scalable oversight for large language models
Samuel R Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, Kamile Lukosuite, Amanda Askell, Andy Jones, Anna Chen, et al · 2022
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Language models (mostly) know what they know, 2022
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, Scott Johnston, Sheer El-Showk, Andy Jones, Nelson Elhage, Tristan Hume, Anna Chen, Yuntao Bai, Sam Bowman, Stanislav Fort, Deep Ganguli, Danny Hernandez, Josh Jacobson, Jackson Kernion, Shauna Kravec, Liane Lovitt, Kamal Ndousse, Catherine Olsson, Sam Ringer, Dario Amodei, Tom Brown, Jack Clark, Nicholas Joseph, Ben Mann, Sam McCandlish, Chris Olah, and Jared Kaplan · 2022
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Teaching models to express their uncertainty in words, 2022
Stephanie Lin, Jacob Hilton, and Owain Evans · 2022
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Webshop: Towards scalable real-world web interaction with grounded language agents
Shunyu Yao, Howard Chen, John Yang, and Karthik Narasimhan · 2022
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Chemcrow: Augmenting large-language models with chemistry tools, 2023
Andres M Bran, Sam Cox, Andrew D White, and Philippe Schwaller · 2023
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Data integrity: Identifying and protecting assets against ransomware and other destructive events
Jennifer L Cawthra, Michael R Ekstrom, Lauren N Lusty, Julian T Sexton, John E Sweetnam, and Anne R Townsend · 2023
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Mind2web: Towards a generalist agent for the web, 2023
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, and Yu Su · 2023
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Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection, 2023
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz · 2023
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A real-world webagent with planning, long context understanding, and program synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust · 2023
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An overview of catastrophic ai risks, 2023
Dan Hendrycks, Mantas Mazeika, and Thomas Woodside · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, et al · 2023
AutoGPT github repository
Toran Bruce Richards et al · 2023
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Toolformer: Language models can teach themselves to use tools, 2023
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Voyager: An open-ended embodied agent with large language models, 2023
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
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LLM-powered autonomous agents
Lilian Weng · 2023
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The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, et al · 2023
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Gentopia: A collaborative platform for tool-augmented llms, 2023
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Cited alongside, same era.
Evaluating language-model agents on realistic autonomous tasks
Megan Kinniment, Lucas Jun Koba Sato, Haoxing Du, Brian Goodrich, Max Hasin, Lawrence Chan, Luke Harold Miles, Tao R Lin, Hjalmar Wijk, Joel Burget, Aaron Ho, Elizabeth Barnes, and Paul Christiano · 2023
Cited alongside, same era.
Agentbench: Evaluating llms as agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, et al · 2023
Cited alongside, same era.
The cyber kill chain
Lockheed Martin · 2023
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MITRE ATT&CK v14 Enterprise TTP Matrix
MITRE · 2023
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MiniAGI github repository
Bernhard Mueller et al · 2023
Cited alongside, same era.
Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark, 2023
Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, and Dan Hendrycks · 2023
Cited alongside, same era.
Gpt-4 technical report, 2023b
OpenAI
Cited in the paper.
Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, and Dongkuan Xu · 2023
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React: Synergizing reasoning and acting in language models, 2023
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023
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Do large language models know what they don’t know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, and Xuanjing Huang · 2023
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Webarena: A realistic web environment for building autonomous agents, 2023
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig · 2023
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Thinking About Risks From AI: Accidents, Misuse and Structure, 2023
Remco Zwetsloot and Allan Dafoe · 2023
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