Fetching the paper…
Reading the bibliography…
The rapidly evolving field of Robotic Process Automation (RPA) has made significant strides in automating repetitive processes, yet its effectiveness diminishes in scenarios requiring spontaneous or unpredictable tasks demanded by users.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Robotic Process Automation - Creating Value by Digitalizing Work in the Private Healthcare?. In Proceedings of the 22nd International Academic Mindtrek Conference (Tampere, Finland) (Mindtrek ’18) . Association for Computing Machinery, New York, NY, USA, 222–227
M. Ratia, J. Myllärniemi, and N. Helander. 2018 · 2018
Earlier work this paper cites.
Robotic Process Automation
Wil M. P. van der Aalst, Martin Bichler, and Armin Heinzl. 2018 · 2018
Earlier work this paper cites.
Communication Robot for Elderly Based on Robotic Process Automation. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) , Vol. 2. 251–256
Toru Kobayashi, Kenichi Arai, Tetsuo Imai, Shigeaki Tanimoto, Hiroyuki Sato, and Atsushi Kanai. 2019 · 2019
Earlier work this paper cites.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Earlier work this paper cites.
Robotic Process Automation: Contemporary themes and challenges
Rehan Syed, Suriadi Suriadi, Michael Adams, Wasana Bandara, Sander J.J. Leemans, Chun Ouyang, Arthur H.M. ter Hofstede, Inge van de Weerd, Moe Thandar Wynn, and Hajo A. Reijers. 2020 · 2019
Earlier work this paper cites.
A Consolidated Framework for Implementing Robotic Process Automation Projects. In Business Process Management , Dirk Fahland, Chiara Ghidini, Jörg Becker, and Marlon Dumas (Eds.). Springer International Publishing, Cham, 471–488
Lukas-Valentin Herm, Christian Janiesch, Alexander Helm, Florian Imgrund, Kevin Fuchs, Adrian Hofmann, and Axel Winkelmann. 2020 · 2020
Earlier work this paper cites.
Robotic process automation
Peter Hofmann, Caroline Samp, and Nils Urbach. 2020 · 2020
Earlier work this paper cites.
maxbachmann/RapidFuzz: Release 1.8.0
Max Bachmann. 2021 · 2021
Earlier work this paper cites.
Learning to retrieve prompts for in-context learning
Ohad Rubin, Jonathan Herzig, and Jonathan Berant. 2021 · 2021
Earlier work this paper cites.
Robotic process automation in banking industry: a case study on Deutsche Bank
Alice Saldanha Villar and Nawaz Khan. 2021 · 2021
Earlier work this paper cites.
LangChain
2022 · 2022
Cited alongside, same era.
OpenAI API
2022 · 2022
Cited alongside, same era.
Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, et al · 2022
Cited alongside, same era.
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig. 2022 · 2022
Cited alongside, same era.
WebGPT: Browser-assisted question-answering with human feedback
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 · 2022
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2023b · 2023
Later among the works it cites.
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
Xiao-Yang Liu, Guoxuan Wang, and Daochen Zha. 2023a · 2023
Later among the works it cites.
Visconde: Multi-document QA with GPT-3 and Neural Reranking. In European Conference on Information Retrieval . Springer, 534–543
Jayr Pereira, Robson Fidalgo, Roberto Lotufo, and Rodrigo Nogueira. 2023 · 2023
Later among the works it cites.
In-context retrieval-augmented language models
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
Cited alongside, same era.
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, and Sumit Gulwani. 2022 · 2022
Cited alongside, same era.
Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models. In Chi conference on human factors in computing systems extended abstracts . 1–7
Priyan Vaithilingam, Tianyi Zhang, and Elena L Glassman. 2022 · 2022
Cited alongside, same era.
Transformer Agent
2023 · 2023
Cited alongside, same era.
Code as policies: Language model programs for embodied control. In 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 9493–9500
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, and Andy Zeng. 2023 · 2023
Cited alongside, same era.
Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
Later among the works it cites.
Modular Visual Question Answering via Code Generation
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, and Dan Klein. 2023 · 2023
Later among the works it cites.
Chatgpt for robotics: Design principles and model abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor. 2023 · 2023
Later among the works it cites.
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann. 2023 · 2023
Later among the works it cites.
FinGPT: Open-Source Financial Large Language Models
Hongyang Yang, Xiao-Yang Liu, and Christina Dan Wang. 2023 · 2023
Later among the works it cites.
Boyu Zhang, Hongyang Yang, and Xiao-Yang Liu. 2023 · 2023
Later among the works it cites.