@inproceedings{su-etal-2024-language,
title = "Language Agents: Foundations, Prospects, and Risks",
author = "Su, Yu and
Yang, Diyi and
Yao, Shunyu and
Yu, Tao",
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.emnlp-tutorials.3",
pages = "17--24",
abstract = "Language agents are autonomous agents, usually powered by large language models, that can follow language instructions to carry out diverse and complex tasks in real-world or simulated environments. It is one of the most heated discussion threads in AI and NLP at present with many proof-of-concept efforts, yet there lacks a systematic account of the conceptual definition, theoretical foundation, promising directions, and risks of language agents. This proposed tutorial aspires to fill this gap by providing a conceptual framework of language agents as well as giving a comprehensive discussion on important topic areas including tool augmentation, grounding, reasoning and planning, multi-agent systems, and rissk and societal impact. Language played a critical role in the evolution of biological intelligence, and now artificial intelligence may be following a similar evolutionary path. This is remarkable and concerning at the same time. We hope this tutorial will provide a timely framework to facilitate constructive discussion on this important emerging topic.",
}
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<abstract>Language agents are autonomous agents, usually powered by large language models, that can follow language instructions to carry out diverse and complex tasks in real-world or simulated environments. It is one of the most heated discussion threads in AI and NLP at present with many proof-of-concept efforts, yet there lacks a systematic account of the conceptual definition, theoretical foundation, promising directions, and risks of language agents. This proposed tutorial aspires to fill this gap by providing a conceptual framework of language agents as well as giving a comprehensive discussion on important topic areas including tool augmentation, grounding, reasoning and planning, multi-agent systems, and rissk and societal impact. Language played a critical role in the evolution of biological intelligence, and now artificial intelligence may be following a similar evolutionary path. This is remarkable and concerning at the same time. We hope this tutorial will provide a timely framework to facilitate constructive discussion on this important emerging topic.</abstract>
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%0 Conference Proceedings
%T Language Agents: Foundations, Prospects, and Risks
%A Su, Yu
%A Yang, Diyi
%A Yao, Shunyu
%A Yu, Tao
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F su-etal-2024-language
%X Language agents are autonomous agents, usually powered by large language models, that can follow language instructions to carry out diverse and complex tasks in real-world or simulated environments. It is one of the most heated discussion threads in AI and NLP at present with many proof-of-concept efforts, yet there lacks a systematic account of the conceptual definition, theoretical foundation, promising directions, and risks of language agents. This proposed tutorial aspires to fill this gap by providing a conceptual framework of language agents as well as giving a comprehensive discussion on important topic areas including tool augmentation, grounding, reasoning and planning, multi-agent systems, and rissk and societal impact. Language played a critical role in the evolution of biological intelligence, and now artificial intelligence may be following a similar evolutionary path. This is remarkable and concerning at the same time. We hope this tutorial will provide a timely framework to facilitate constructive discussion on this important emerging topic.
%U https://aclanthology.org/2024.emnlp-tutorials.3
%P 17-24
Markdown (Informal)
[Language Agents: Foundations, Prospects, and Risks](https://aclanthology.org/2024.emnlp-tutorials.3) (Su et al., EMNLP 2024)
ACL
- Yu Su, Diyi Yang, Shunyu Yao, and Tao Yu. 2024. Language Agents: Foundations, Prospects, and Risks. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 17–24, Miami, Florida, USA. Association for Computational Linguistics.