Manipulating Large Language Models to Increase Product Visibility

An empirical study on the search engine optimization technique and its outcomes

Fuxue Wang, Yi Li, and Yiwen Zhang · 2011

Earlier work this paper cites.

The impact of search engine optimization on the visibility of research paper and citations

Asim Shahzad, Nazri Mohd Nawi, Norhamreeza Hamid, Sundas Khan, Muhammad Aamir, Arif Ulah, and Salfarina Abdullah · 2017

Earlier work this paper cites.

A survey on search engine optimization techniques

R.Anil Kumar, Zaiduddin Shaik, and Mohammed Furqan · 2019

Earlier work this paper cites.

Realm: Retrieval-augmented language model pre-training, 2020

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang · 2020

Earlier work this paper cites.

Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Patrick 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 · 2021

Earlier work this paper cites.

Leveraging passage retrieval with generative models for open domain question answering

Gautier Izacard and Edouard Grave · 2021

Earlier work this paper cites.

End-to-end training of multi-document reader and retriever for open-domain question answering

Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer, and Dani Yogatama · 2021

Earlier work this paper cites.

Long-term visual localization with semantic enhanced global retrieval

Hongrui Chen, Yuan Xiong, Jingru Wang, and Zhong Zhou · 2021

Earlier work this paper cites.

The influence of search engine optimization on google’s results: A multi-dimensional approach for detecting seo

Dirk Lewandowski, Sebastian Sünkler, and Nurce Yagci · 2021

Cited alongside, same era.

Retrieval as attention: End-to-end learning of retrieval and reading within a single transformer

Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, and Graham Neubig · 2022

Cited alongside, same era.

Webgpt: Browser-assisted question-answering with human feedback, 2022

Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, and John Schulman · 2022

Cited alongside, same era.

Universal and transferable adversarial attacks on aligned language models, 2023

Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, and Matt Fredrikson · 2023

Cited alongside, same era.

Atlas: Few-shot learning with retrieval augmented language models

Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, and Edouard Grave · 2023

Jailbroken: How does LLM safety training fail?

Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023

Later among the works it cites.

Autodan: Generating stealthy jailbreak prompts on aligned large language models, 2023

Xiaogeng Liu, Nan Xu, Muhao Chen, and Chaowei Xiao · 2023

Later among the works it cites.

Autodan: Automatic and interpretable adversarial attacks on large language models, 2023

Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, and Tong Sun · 2023

Later among the works it cites.

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

Later among the works it cites.

Retrieval-augmented generation for large language models: A survey, 2024

Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, and Haofen Wang · 2024

Closest in time.