2025
ACL
ACL 2025
StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation
Abstract
AbstractThis 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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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Learning Paradigms > Few-Shot Learning
Natural Language Processing > Generation > Text Generation
Natural Language Processing > Applications > Question Answering
Machine Learning > Learning Paradigms > Few-Shot Learning
Machine Learning > Learning Types > Few-Shot Learning
Artificial Intelligence > Core AI > Large Language Models
Natural Language Processing > Applications > Argument Mining
Deep Learning > Techniques > Prompt Engineering