Feiyang Kang
- LAVA: Data Valuation without Pre-Specified Learning Algorithms
2023/04/28 by Hoang Anh Just, Just, Hoang Anh, Feiyang Kang +11 · 9 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
2024/05/05 by Feiyang Kang, Kang, Feiyang, Hoang Anh Just +13 · 8 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Mineral Processing and Grinding #Natural Language Processing Techniques
- AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
2024/07/29 by Feiyang Kang, Yifan Sun, Kang, Feiyang +11 · 7 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Mining Algorithms and Applications #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies
- Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
2025/10/02 by Feiyang Kang, Newsha Ardalani, Kang, Feiyang +17 · 3 citations
Social Sciences · #Artificial Intelligence in Law
- Data Acquisition: A New Frontier in Data-centric AI
2023/11/22 by Lingjiao Chen, Bilge Acun, Chen, Lingjiao +19 · 1 citation
Decision Sciences · Business, Management and Accounting · Computer Science · #Data Quality and Management #Big Data and Business Intelligence #Privacy-Preserving Technologies in Data
- FASTTRACK: Fast and Accurate Fact Tracing for LLMs
2024/04/22 by Si Chen, Chen, Si, Feiyang Kang +5 · 1 citation
Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences