Analyzing temporal complex events with large language models? A benchmark towards temporal, long context understanding

Analyzing temporal complex events with large language models? A benchmark towards temporal, long context understanding

The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events.We refer to the complex events composed of many news articles over an extended period as Temporal Complex Event (TCE). This paper proposes a...

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Bibliographic Details
Main Authors: ZHANG, Zhihan, CAO, Yixin, YE, Chenchen, MA. Yunshan, LIAO, Lizi, CHUA, Tat-Seng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Temporal complex events
Large language models
LLMS
Extensive text processing
Artificial Intelligence and Robotics
Computer Sciences
Online Access:https://ink.library.smu.edu.sg/sis_research/9697
https://ink.library.smu.edu.sg/context/sis_research/article/10697/viewcontent/2024.acl_long.87.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9697
https://ink.library.smu.edu.sg/context/sis_research/article/10697/viewcontent/2024.acl_long.87.pdf

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