Ma, Jiaqi W.

12 publications

NeurIPS 2025 A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation Yiwen Tu, Pingbang Hu, Jiaqi W. Ma

NeurIPS 2025 A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Yuzheng Hu, Fan Wu, Haotian Ye, David Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

ICML 2025 A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Junwei Deng, Weijing Tang, Jiaqi W. Ma

ICLRW 2025 A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Junwei Deng, Weijing Tang, Jiaqi W. Ma

ICLR 2025 Adversarial Attacks on Data Attribution Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma

ICLRW 2025 Adversarial Attacks on Data Attribution Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma

NeurIPS 2025 DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models Cathy Jiao, Yijun Pan, Emily Xiao, Daisy Sheng, Niket Jain, Hanzhang Zhao, Ishita Dasgupta, Jiaqi W. Ma, Chenyan Xiong

NeurIPS 2025 GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi W. Ma

ICLRW 2025 Improving Influence-Based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng

NeurIPS 2025 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 2024 $\texttt{dattri}$: 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 Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma