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cs.CL2026
Effective Synthetic Data Curation Requires Group-Level Signals
Cathy Jiao, Chenyan Xiong
Synthetic data now is essential to LLM training, used to strengthen advanced capabilities such as autonomous and long-horizon task execution. Yet recent work shows that training on…
cs.CL2025
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
Cathy Jiao, Yijun Pan, Emily Xiao +6
Data attribution methods quantify the influence of training data on model outputs and are becoming increasingly relevant for a wide range of LLM research and applications, includin…
cs.CL2024
On the Feasibility of In-Context Probing for Data Attribution
Cathy Jiao, Gary Gao, Aditi Raghunathan +1
Data attribution methods are used to measure the contribution of training data towards model outputs, and have several important applications in areas such as dataset curation and…