Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen*, Xiaoye Zhu*, Yue Wang*, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li (* equal contribution)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025

We propose a symbolic generative task description language and inference engine, capable of representing arbitrary multimodal tasks as symbolic flows.

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

Jiaqi Chen*, Xiaoye Zhu*, Tianyang Liu*, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang (* equal contribution)

Association for the Advancement of Artificial Intelligence (AAAI) 2025 Oral

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Learn more

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