# Ruoxi Jia [[Virginia Tech]] 所属の研究者(ReDS lab)。[[@2025__EMNLP__Demystifying Synthetic Data in LLM Pre-training - A Systematic Study of Scaling Laws, Benefits, and Pitfalls]] のシニア著者であり、Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning および NSF (IIS-2312794, IIS-2313130, OAC-2239622) の助成を受けた。(Source: [[@2025__EMNLP__Demystifying Synthetic Data in LLM Pre-training - A Systematic Study of Scaling Laws, Benefits, and Pitfalls]]) ## 関連 - ソース: [[@2025__EMNLP__Demystifying Synthetic Data in LLM Pre-training - A Systematic Study of Scaling Laws, Benefits, and Pitfalls]] - エンティティ: [[Virginia Tech]]