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OPOR-Bench: Evaluating Large Language Models on Online Public Opinion Report Generation

Year: 2025

Type: dissertation

Abstract: Online Public Opinion Reports consolidate news and social media for timely crisis management by governments and enterprises. While large language models (LLMs) enable automated report generation, this specific domain lacks fo... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.073771

Authors: Jinzheng Yu, Yang Xu, Haozhen Li, Junqi Li, Ligu Zhu, Hao Shen, Lei Shi

Institutions: Harbin Institute of Technology, China Academy of Railway Sciences, State Key Laboratory of Media Convergence and Communication, Communication University of China

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7116052053

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Cited by: 2

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