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Large Language Models (LLMs) such as GPT and Llama2 are increasingly adopted in many safety-critical applications.
Measuring skewness and kurtosis
Richard A Groeneveld and Glen Meeden · 1984
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Direct and indirect effects
Judea Pearl · 2001
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A definition of causal effect for epidemiological research
M A Hernán · 2004
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What causes a system to satisfy a specification?
Hana Chockler, Joseph Y Halpern, and Orna Kupferman · 2008
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Causality
Judea Pearl · 2009
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Trojaning attack on neural networks
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang · 2018
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Explaining deep learning models using causal inference
Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, and Senthil Mani · 2018
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Fairness in decision-making—the causal explanation formula
Junzhe Zhang and Elias Bareinboim · 2018
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Neural network attributions: A causal perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, and Vineeth N Balasubramanian · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Actual causality canvas: a general framework for explanation-based socio-technical constructs
Amjad Ibrahim, Tobias Klesel, Ehsan Zibaei, Severin Kacianka, and Alexander Pretschner · 2020
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Causal testing: understanding defects’ root causes
Brittany Johnson, Yuriy Brun, and Alexandra Meliou · 2020
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Investigating gender bias in language models using causal mediation analysis
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, and Stuart Shieber · 2020
Cited alongside, same era.
Locating and editing factual associations in gpt
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Red teaming language models with language models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving · 2022
Cited alongside, same era.
Causality-based neural network repair
Bing Sun, Jun Sun, Long H Pham, and Jie Shi · 2022
Cited alongside, same era.
Baseline defenses for adversarial attacks against aligned language models
Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, and Tom Goldstein · 2023
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Automatically auditing large language models via discrete optimization
Erik Jones, Anca Dragan, Aditi Raghunathan, and Jacob Steinhardt · 2023
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Multi-step jailbreaking privacy attacks on chatgpt
Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, and Yangqiu Song · 2023
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Casper experiments data and code, 2023
Casper LLM · 2023
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Analyzing leakage of personally identifiable information in language models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, and Santiago Zanella-Béguelin · 2023
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Gabriel Alon and Michael Kamfonas · 2023
Cited alongside, same era.
Role of chat gpt in public health
Som S Biswas · 2023
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al · 2023
Cited alongside, same era.
Jailbreaker: Automated jailbreak across multiple large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu · 2023
Cited alongside, same era.
Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer · 2023
Cited alongside, same era.
Generative ai and chatgpt: Applications, challenges, and ai-human collaboration, 2023
Fiona Fui-Hoon Nah, Ruilin Zheng, Jingyuan Cai, Keng Siau, and Langtao Chen · 2023
Cited alongside, same era.
Closest in time.
The trojan detection challenge 2023 (llm edition), 2023
TDC 2023 Organizers · 2023
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Two-in-One: A model hijacking attack against text generation models
Wai Man Si, Michael Backes, Yang Zhang, and Ahmed Salem · 2023
Closest in time.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
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Prompt as triggers for backdoor attack: Examining the vulnerability in language models
Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, and Jie Fu · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, J Zico Kolter, and Matt Fredrikson · 2023
Closest in time.