WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents

Bootstrapping pos-taggers using unlabelled data

Stephen Clark, James R Curran, and Miles Osborne · 2003

Earlier work this paper cites.

Effective self-training for parsing

David McClosky, Eugene Charniak, and Mark Johnson · 2006

Earlier work this paper cites.

World of bits: An open-domain platform for web-based agents

Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, and Percy Liang · 2017

Earlier work this paper cites.

Reinforcement learning on web interfaces using workflow-guided exploration

Original

Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, and Percy Liang · 2018

Earlier work this paper cites.

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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020

Earlier work this paper cites.

Making pre-trained language models better few-shot learners

Tianyu Gao, Adam Fisch, and Danqi Chen · 2021

Earlier work this paper cites.

Measuring massive multitask language understanding, 2021

Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2021

Earlier work this paper cites.

Grounding open-domain instructions to automate web support tasks, 2021

Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James Landay, and Monica S Lam · 2021

Earlier work this paper cites.

Understanding html with large language models

Original

Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, and Aleksandra Faust · 2022

Earlier work this paper cites.

Can language models learn from explanations in context?

Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, Kory Mathewson, Mh Tessler, Antonia Creswell, James McClelland, Jane Wang, and Felix Hill · 2022

Cited alongside, same era.

Rethinking the role of demonstrations: What makes in-context learning work?

Original

Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer · 2022

Cited alongside, same era.

Webshop: Towards scalable real-world web interaction with grounded language agents

Shunyu Yao, Howard Chen, John Yang, and Karthik Narasimhan · 2022

Cited alongside, same era.

BYOC: Personalized few-shot classification with co-authored class descriptions

Arth Bohra, Govert Verkes, Artem Harutyunyan, Pascal Weinberger, and Giovanni Campagna · 2023

Cited alongside, same era.

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

Cited alongside, same era.

Gpt-4 technical report, 2023

OpenAI · 2023

Later among the works it cites.

Hierarchical prompting assists large language model on web navigation

Original

Abishek Sridhar, Robert Lo, Frank F Xu, Hao Zhu, and Shuyan Zhou · 2023

Later among the works it cites.

Voyager: An open-ended embodied agent with large language models

Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023

Later among the works it cites.

Webvoyager: Building an end-to-end web agent with large multimodal models

Original

Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, and Dong Yu · 2024

Closest in time.

Rap: Retrieval-augmented planning with contextual memory for multimodal llm agents, 2024

Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou, Jayashree Karlekar, Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick, and Yang You · 2024

Closest in time.