DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Accurate unlexicalized parsing

Dan Klein and Christopher D. Manning. 2003 · 2003

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Language models are unsupervised multitask learners

Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019

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Gpt-3: Its nature, scope, limits, and consequences

Luciano Floridi and Massimo Chiriatti. 2020 · 2020

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Compositional semantic parsing with large language models

Original

Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, and Denny Zhou. 2022 · 2022

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Successive Prompting for Decomposing Complex Questions

Original

Dheeru Dua, Shivanshu Gupta, Sameer Singh, and Matt Gardner. 2022 · 2022

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Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models

Original

Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, and Jeff Z. Pan. 2022 · 2022

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Defending against alignment-breaking attacks via robustly aligned llm

Original

Bochuan Cao, Yuanpu Cao, Lu Lin, and Jinghui Chen. 2023 · 2023

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Jailbreaking Black Box Large Language Models in Twenty Queries

Original

Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, and Eric Wong. 2023 · 2023

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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, Ion Stoica, and Eric P. Xing. 2023 · 2023

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Palm: Scaling language modeling with pathways

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2023 · 2023

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Rephrase and respond: Let large language models ask better questions for themselves

Original

Yihe Deng, Weitong Zhang, Zixiang Chen, and Quanquan Gu. 2023 · 2023

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A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

Original

Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, and Shujian Huang. 2023 · 2023

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Gemini: A family of highly capable multimodal models

Original

Google. 2023 · 2023

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Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Original

Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, and Danqi Chen. 2023 · 2023

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Baseline defenses for adversarial attacks against aligned language models

Original

Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, and Tom Goldstein. 2023 · 2023

Cited alongside, same era.

Wizard-vicuna-13b-uncensored-ggml (may 2023 version) [large language model]

Tom Jobbins. 2023 · 2023

Cited alongside, same era.

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Original

Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, and Ashish Sabharwal. 2023 · 2023

Cited alongside, same era.

Large language models are zero-shot reasoners

Original

Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2023 · 2023

Cited alongside, same era.

Open Sesame! Universal Black Box Jailbreaking of Large Language Models

DPO-DIFF:on Discrete Prompt Optimization for text-to-image DIFFusion modelsgenerating Natural Language Adversarial Examples

Original

Ruochen Wang, Ting Liu, Cho-jui Hsieh, and Boqing Gong. 2023 · 2023

Later among the works it cites.

Fundamental limitations of alignment in large language models

Original

Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, and Amnon Shashua. 2023 · 2023

Later among the works it cites.

DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-to-Fine Contrastive Ranking

Lijin Yang, Quan Kong, Hsuan-Kung Yang, Wadim Kehl, Yoichi Sato, and Norimasa Kobori. 2023 · 2023

Later among the works it cites.

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

Original

Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, and Yongbin Li. 2023 · 2023

Later among the works it cites.