Kang, Feiyang

10 publications

ICLR 2026 How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study Newsha Ardalani, Feiyang Kang, Michael Kuchnik, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-Wen Li, Carole-Jean Wu

ICLR 2026 Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead Feiyang Kang, Michael Kuchnik, Karthik Padthe, Marin Vlastelica, Ruoxi Jia, Carole-Jean Wu, Newsha Ardalani

NeurIPS 2025 A Sustainable AI Economy Needs Data Deals That Work for Generators Ruoxi Jia, Luis Oala, Wenjie Xiong, Suqin Ge, Jiachen T. Wang, Feiyang Kang, Dawn Song

DMLR 2025 Data Acquisition: A New Frontier in Data-Centric AI Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou

TMLR 2024 Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia

ICLR 2024 Get More for Less: Principled Data Selection for Warming up Fine-Tuning in LLMs Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia

CVPR 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia

ICLR 2023 LAVA: Data Valuation Without Pre-Specified Learning Algorithms Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

NeurIPS 2023 Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia

ICLR 2023 Towards Robustness Certification Against Universal Perturbations Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia