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Suhang Zheng

2 accepted papers

2025

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

ACL 2025long

Recent advances in large language models have highlighted the critical need for precise control over model outputs through predefined constraints. While existing methods attempt to achieve this through either direct instruction-response synthesis or preferential response optimization, they often str…

2025

LLM-GAN: Constructing Generative Adversarial Network Through Large Language Models for Explainable Fake News Detection

ICASSP 2025accepted

Explainable fake news detection predicts the authenticity of news items with annotated explanations. Today, Large Language Models (LLMs) are known for their powerful natural language understanding and explanation generation abilities. However, using LLMs for explainable fake news detection remains t…

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