Large language model powered agents in the web

Web applications serve as vital interfaces for users to access information, perform various tasks, and engage with content. Traditional web designs have predominantly focused on user interfaces and static experiences. With the advent of large language models (LLMs), there’s a paradigm shift as we in...

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Main Authors: DENG, Yang, ZHANG, An, LIN, Yankai, CHEN, Xu, WEN, Ji-Rong, CHUA, Tat-Seng
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9105
https://ink.library.smu.edu.sg/context/sis_research/article/10108/viewcontent/3589335.3641240.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-101082024-08-01T15:01:35Z Large language model powered agents in the web DENG, Yang ZHANG, An LIN, Yankai CHEN, Xu WEN, Ji-Rong CHUA, Tat-Seng Web applications serve as vital interfaces for users to access information, perform various tasks, and engage with content. Traditional web designs have predominantly focused on user interfaces and static experiences. With the advent of large language models (LLMs), there’s a paradigm shift as we integrate LLM-powered agents into these platforms. These agents bring forth crucial human capabilities like memory and planning to make them behave like humans in completing various tasks, effectively enhancing user engagement and offering tailored interactions in web applications. In this tutorial, we delve into the cutting-edge techniques of LLM-powered agents across various web applications, such as web mining, social networks, recommender systems, and conversational systems. We will also explore the prevailing challenges in seamlessly incorporating these agents and hint at prospective research avenues that can revolutionize the way we interact with web platforms. 2024-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9105 info:doi/10.1145/3589335.3641240 https://ink.library.smu.edu.sg/context/sis_research/article/10108/viewcontent/3589335.3641240.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Large Language Model Social Network Recommendation Conversational Agent Databases and Information Systems Programming Languages and Compilers
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Large Language Model
Social Network
Recommendation
Conversational Agent
Databases and Information Systems
Programming Languages and Compilers
spellingShingle Large Language Model
Social Network
Recommendation
Conversational Agent
Databases and Information Systems
Programming Languages and Compilers
DENG, Yang
ZHANG, An
LIN, Yankai
CHEN, Xu
WEN, Ji-Rong
CHUA, Tat-Seng
Large language model powered agents in the web
description Web applications serve as vital interfaces for users to access information, perform various tasks, and engage with content. Traditional web designs have predominantly focused on user interfaces and static experiences. With the advent of large language models (LLMs), there’s a paradigm shift as we integrate LLM-powered agents into these platforms. These agents bring forth crucial human capabilities like memory and planning to make them behave like humans in completing various tasks, effectively enhancing user engagement and offering tailored interactions in web applications. In this tutorial, we delve into the cutting-edge techniques of LLM-powered agents across various web applications, such as web mining, social networks, recommender systems, and conversational systems. We will also explore the prevailing challenges in seamlessly incorporating these agents and hint at prospective research avenues that can revolutionize the way we interact with web platforms.
format text
author DENG, Yang
ZHANG, An
LIN, Yankai
CHEN, Xu
WEN, Ji-Rong
CHUA, Tat-Seng
author_facet DENG, Yang
ZHANG, An
LIN, Yankai
CHEN, Xu
WEN, Ji-Rong
CHUA, Tat-Seng
author_sort DENG, Yang
title Large language model powered agents in the web
title_short Large language model powered agents in the web
title_full Large language model powered agents in the web
title_fullStr Large language model powered agents in the web
title_full_unstemmed Large language model powered agents in the web
title_sort large language model powered agents in the web
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/9105
https://ink.library.smu.edu.sg/context/sis_research/article/10108/viewcontent/3589335.3641240.pdf
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