StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation

This paper presents StateCloud's submission to the Critical Questions Generation (CQs-Gen) shared task at the Argument Mining Workshop 2025.To generate high-quality critical questions from argumentative texts, we propose a framework that combines prompt engineering with few-shot learning to effectively guide generative models.Additionally, we ensemble outputs from diverse large language models (LLMs) to enhance accuracy.Notably, our approach achieved 3rd place in the competition, demonstrating the viability of prompt engineering strategies for argumentative tasks.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.argmining-1.24
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation

J.-G. Zhang, Binghuai Lin, Dongming Yang
Topic Modeling
article

StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation

J.-G. Zhang, Binghuai Lin, Dongming Yang
article en

Abstract

This paper presents StateCloud's submission to the Critical Questions Generation (CQs-Gen) shared task at the Argument Mining Workshop 2025.To generate high-quality critical questions from argumentative texts, we propose a framework that combines prompt engineering with few-shot learning to effectively guide generative models.Additionally, we ensemble outputs from diverse large language models (LLMs) to enhance accuracy.Notably, our approach achieved 3rd place in the competition, demonstrating the viability of prompt engineering strategies for argumentative tasks.

China Telecom (China) (CN), Cloud Computing Center (CN)
Openalex Percentile: Top 90%
Topic Modeling
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