Jiaqi W. Ma - RankMe

23 papers A* 4Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Theory of Random Projection for Influence Functions. CoRR Pingbang Hu, Yuzheng Hu, Jiaqi W. Ma, Han Zhao
2026	J	`jnl`	FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases. CoRR Xingjian Zhang, Sophia Moylan, Ziyang Xiong, Qiaozhu Mei, Yichen Luo, Jiaqi W. Ma
2026	J	`jnl`	OATS: Online Data Augmentation for Time Series Foundation Models. CoRR Junwei Deng, Chang Xu, Jiaqi W. Ma, Ming Jin, Chenghao Liu, Jiang Bian
2025	J	`jnl`	A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. CoRR Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao
2025	A*	`conf`	A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. ICML Junwei Deng, Weijing Tang, Jiaqi W. Ma
2025	J	`jnl`	Accountability Attribution: Tracing Model Behavior to Training Processes. CoRR Shichang Zhang, Hongzhe Du, Karim Saraipour, Jiaqi W. Ma, Himabindu Lakkaraju
2025	A*	`conf`	Adversarial Attacks on Data Attribution. ICLR Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma
2025	J	`jnl`	DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models. CoRR Cathy Jiao, Yijun Pan, Emily Xiao, Daisy Sheng, Niket Jain, Hanzhang Zhao, Ishita Dasgupta, Jiaqi W. Ma, Chenyan Xiong
2025	—	`conf`	DCA-Bench: A Benchmark for Dataset Curation Agents. KDD (2) Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, Jiaqi W. Ma
2025	J	`jnl`	Daunce: Data Attribution through Uncertainty Estimation. CoRR Xingyuan Pan, Chenlu Ye, Joseph Melkonian, Jiaqi W. Ma, Tong Zhang
2025	J	`jnl`	Detecting and Filtering Unsafe Training Data via Data Attribution. CoRR Yijun Pan, Taiwei Shi, Jieyu Zhao, Jiaqi W. Ma
2025	J	`jnl`	GraSS: Scalable Influence Function with Sparse Gradient Compression. CoRR Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi W. Ma
2025	—	`conf`	Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities. EMNLP (Findings) Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng
2025	J	`jnl`	Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities. CoRR Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng
2025	J	`jnl`	Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution. CoRR Yiwen Tu, Ziqi Liu, Jiaqi W. Ma, Weijing Tang
2025	J	`jnl`	Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining. CoRR Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi W. Ma
2025	J	`jnl`	Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks. CoRR Xinhe Wang, Jin Huang, Xingjian Zhang, Tianhao Wang, Jiaqi W. Ma
2024	J	`jnl`	A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. CoRR Junwei Deng, Weijing Tang, Jiaqi W. Ma
2024	J	`jnl`	Adversarial Attacks on Data Attribution. CoRR Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma
2024	A*	`conf`	Most Influential Subset Selection: Challenges, Promises, and Beyond. NeurIPS Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma
2024	J	`jnl`	Most Influential Subset Selection: Challenges, Promises, and Beyond. CoRR Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma
2024	A*	`conf`	dattri: A Library for Efficient Data Attribution. NeurIPS Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma
2024	J	`jnl`	dattri: A Library for Efficient Data Attribution. CoRR Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma