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Large Language Models (LLMs) have demonstrated remarkable capabilities in generating coherent text but remain limited by the static nature of their training data.
MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng · 2016
Earlier work this paper cites.
A full-text learning to rank dataset for medical information retrieval
Vera Boteva, Demian Gholipour, Artem Sokolov, and Stefan Riezler · 2016
Earlier work this paper cites.
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, and Christopher D. Manning · 2018
Earlier work this paper cites.
Understanding top-k sparsification in distributed deep learning, 2019
Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, and Simon See · 2019
Earlier work this paper cites.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov · 2019
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2020
Earlier work this paper cites.
Can adversarial weight perturbations inject neural backdoors
Siddhant Garg, Adarsh Kumar, Vibhor Goel, and Yingyu Liang · 2020
Earlier work this paper cites.
Weight poisoning attacks on pre-trained models, 2020
Keita Kurita, Paul Michel, and Graham Neubig · 2020
Earlier work this paper cites.
Leveraging passage retrieval with generative models for open domain question answering, 2021
Gautier Izacard and Edouard Grave · 2021
Earlier work this paper cites.
Extracting training data from large language models, 2021
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, Alina Oprea, and Colin Raffel · 2021
Earlier work this paper cites.
Backdoor attacks on pre-trained models by layerwise weight poisoning, 2021
Linyang Li, Demin Song, Xiaonan Li, Jiehang Zeng, Ruotian Ma, and Xipeng Qiu · 2021
Earlier work this paper cites.
Hidden backdoors in human-centric language models, 2021
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, and Jialiang Lu · 2021
Earlier work this paper cites.
Hidden killer: Invisible textual backdoor attacks with syntactic trigger, 2021
Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, and Maosong Sun · 2021
Earlier work this paper cites.
Turn the combination lock: Learnable textual backdoor attacks via word substitution, 2021
Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu, and Maosong Sun · 2021
Earlier work this paper cites.
Rethinking stealthiness of backdoor attack against NLP models
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, and Xu Sun · 2021
Cited alongside, same era.
BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych · 2021
Cited alongside, same era.
Ignore previous prompt: Attack techniques for language models, 2022
Fábio Perez and Ian Ribeiro · 2022
Cited alongside, same era.
Attention is all you need, 2023
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2023
Cited alongside, same era.
Multi-step jailbreaking privacy attacks on chatgpt, 2023
Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, and Yangqiu Song · 2023
Cited alongside, same era.
Tensor trust: Interpretable prompt injection attacks from an online game, 2023
Jailbreaking black box large language models in twenty queries, 2024
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, and Eric Wong · 2024
Closest in time.
”do anything now”: Characterizing and evaluating in-the-wild jailbreak prompts on large language models, 2024
Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang · 2024
Closest in time.
Great, now write an article about that: The crescendo multi-turn llm jailbreak attack, 2024
Mark Russinovich, Ahmed Salem, and Ronen Eldan · 2024
Closest in time.
Masterkey: Automated jailbreaking of large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu · 2024
Closest in time.
Practical membership inference attacks against fine-tuned large language models via self-prompt calibration, 2024
Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, and Tao Jiang · 2024
Closest in time.
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Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, and Stuart Russell · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, March 2023
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
Cited alongside, same era.
Mistral 7b, 2023
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Cited alongside, same era.
Llama guard: Llm-based input-output safeguard for human-ai conversations, 2023
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, and Madian Khabsa · 2023
Cited alongside, same era.
Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models, 2024
Wei Zou, Runpeng Geng, Binghui Wang, and Jinyuan Jia · 2024
Cited alongside, same era.
Backdoor attacks on dense passage retrievers for disseminating misinformation, 2024
Quanyu Long, Yue Deng, LeiLei Gan, Wenya Wang, and Sinno Jialin Pan · 2024
Cited alongside, same era.
Privacy backdoors: Enhancing membership inference through poisoning pre-trained models, 2024
Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, and Nicholas Carlini · 2024
Closest in time.
Prompt injection attack against llm-integrated applications, 2024
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Zihao Wang, Xiaofeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, and Yang Liu · 2024
Closest in time.
Privacy backdoors: Stealing data with corrupted pretrained models, 2024
Shanglun Feng and Florian Tramèr · 2024
Closest in time.
A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, and Yue Zhang · 2024
Closest in time.
Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases, 2024
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, and Bo Li · 2024
Closest in time.
Certifiably robust rag against retrieval corruption, 2024
Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi Chen, and Prateek Mittal · 2024
Closest in time.
The llama 3 herd of models, 2024
Abhimanyu Dubey et al · 2024
Closest in time.
mgte: Generalized long-context text representation and reranking models for multilingual text retrieval, 2024
Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, and Min Zhang · 2024
Closest in time.
Benchmarking and defending against indirect prompt injection attacks on large language models, 2024
Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, and Fangzhao Wu · 2024
Closest in time.