Intelligent Agents with LLM-based Process Automation
Author:
Affiliation:
1. Ant Group, Hangzhou, China
2. Zhejiang University, Hangzhou, China
3. Renmin University of China, Beijing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671646
Reference44 articles.
1. An Overview of Chatbot Technology
2. Baichuan. 2023. Baichuan 2: Open Large-scale Language Models. arXiv preprint arXiv:2309.10305 (2023). https://arxiv.org/abs/2309.10305
3. Yejin Bang Samuel Cahyawijaya Nayeon Lee Wenliang Dai Dan Su Bryan Wilie Holy Lovenia Ziwei Ji Tiezheng Yu Willy Chung et al. 2023. A multitask multilingual multimodal evaluation of chatgpt on reasoning hallucination and interactivity. arXiv preprint arXiv:2302.04023 (2023).
4. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.
5. Jack Cahn. 2017. CHATBOT: Architecture, design, & development. University of Pennsylvania School of Engineering and Applied Science Department of Computer and Information Science (2017).
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