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Xiaoye Zhu

2 accepted papers

2025

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

AAAI 2025technical

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Although past methods have achieved good performance on detecting pure machine-generated text, those detectors have poor performance on distinguishing machine-revised t…

2025

Symbolic Representation for Any-to-Any Generative Tasks

CVPR 2025poster

We propose a symbolic generative task description language and a corresponding inference engine that can represent arbitrary multimodal tasks as structured symbolic flows. Unlike conventional generative models, which rely on large-scale training and implicit neural representations to learn cross-mod…