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Conference Aug 2026

StanceBank: An Efficient Reasoning Framework for Large-Scale Stance Detection on Social Media

Stance detection underpins a wide range of large-scale data analytics applications on social media, including opinion monitoring, policy evaluation, and misinformation tracking. While prompting-based methods leveraging Large Language Models (LLMs) have achieved strong zero-shot performance, they invariably perform per-...

Qiang Xie, Yan-Qing Ye, Xiao-Dong Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

GESE (Generate to Explore, Select to Exploit), a framework operating at the system's presentation layer that decouples personalization into generative exploration and selective exploitation, validate that decoupling diversity-oriented generation from precision-oriented selection offers a robust blueprint for aligning g...

Yi Chen, Ru-Feng Cheng, Qiang Xie et al. · 0 citations

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