Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration

Robotic process automation: systematic literature review

Lucija Ivančić, Dalia Suša Vugec, and Vesna Bosilj Vukšić · 2019

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Language models are few-shot learners

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher 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

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Scaling laws for neural language models

Original

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020

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Robotic process automation

Peter Hofmann, Caroline Samp, and Nils Urbach · 2020

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Robotic process automation: contemporary themes and challenges

Rehan Syed, Suriadi Suriadi, Michael Adams, Wasana Bandara, Sander JJ Leemans, Chun Ouyang, Arthur HM ter Hofstede, Inge van de Weerd, Moe Thandar Wynn, and Hajo A Reijers · 2020

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Development of a web-based education system for deep reinforcement learning-based autonomous mobile robot navigation in real world

Ryota Suenaga and Kazuyuki Morioka · 2020

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Automated generation of executable rpa scripts from user interface logs

Simone Agostinelli, Marco Lupia, Andrea Marrella, and Massimo Mecella · 2020

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Minimizing the number of robots required for a robotic process automation (rpa) problem

Sara Séguin, Hugo Tremblay, Iméne Benkalaï, David-Emmanuel Perron-Chouinard, and Xavier Lebeuf · 2021

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Training language models to follow instructions with human feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe · 2022

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Emergent abilities of large language models

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus · 2022

Cited alongside, same era.

Llama: Open and efficient foundation language models

Original

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023

Cited alongside, same era.

Are emergent abilities of large language models a mirage?

Rylan Schaeffer, Brando Miranda, and Sanmi Koyejo · 2023

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Appagent: Multimodal agents as smartphone users

Original

Chi Zhang, Zhao Yang, Jiaxuan Liu, Yucheng Han, Xin Chen, Zebiao Huang, Bin Fu, and Gang Yu · 2023

Cited alongside, same era.

Robotic process automation (RPA) using a heuristic method and the effective resistance of a graph

A real-world webagent with planning, long context understanding, and program synthesis

Original

Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust · 2023

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Android in the wild: A large-scale dataset for android device control

Original

Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, and Timothy Lillicrap · 2023

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You only look at screens: Multimodal chain-of-action agents

Original

Zhuosheng Zhan and Aston Zhang · 2023

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Code4struct: Code generation for few-shot event structure prediction

Xingyao Wang, Sha Li, and Heng Ji · 2023

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Outline, then details: Syntactically guided coarse-to-fine code generation

Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, and Zhangyang Wang · 2023