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A Survey of Data Attribution: Methods, Applications, and Evaluation in the Era of Generative AI
Junwei Deng*, Yuzheng Hu*, Pingbang Hu*, Ting-Wei Li*, Shixuan Liu*, Jiachen T. Wang, Dan Ley, Qirun Dai, Benhao Huang, Jin Huang, Cathy Jiao, Hoang Anh Just, Yijun Pan, Jingyan Shen, Yiwen Tu, Weiyi Wang, Xinhe Wang, Shichang Zhang, Shiyuan Zhang, Ruoxi Jia, Himabindu Lakkaraju, Hao Peng, Weijing Tang, Chenyan Xiong, Jieyu Zhao, Hanghang Tong, Han Zhao, Jiaqi W. Ma.
Preprint, 2025.
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Exploring Training Data Attribution under Limited Access Constraints
Shiyuan Zhang*, Junwei Deng*, Juhan Bae, Jiaqi W. Ma.
Preprint, 2025.
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Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi W. Ma.
NeurIPS, 2025.
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TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
Zeqing Wang*, Shiyuan Zhang*, Chengpei Tang, Keze Wang.
CVPR 2026 DataMFM Workshop.
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dattri: A Library for Efficient Data Attribution
Junwei Deng*, Ting-Wei Li*, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma.
NeurIPS, 2024. Spotlight
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Computational Copyright: Towards A Royalty Model for Music Generative AI
Junwei Deng, Xirui Jiang, Shiyuan Zhang, Shichang Zhang, Himabindu Lakkaraju, Ruijiang Gao, Chris Donahue, Jiaqi W. Ma.
ICML 2024 GenLaw Workshop; ICLR 2024 DPFM Workshop Best Paper Award
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Nuanced Multi-class Detection of Machine-Generated Scientific Text
Shiyuan Zhang, Yubin Ge, Xiaofeng Liu.
PACLIC, 2024. (Oral Presentation)