Jeong, Haewon

5 publications

ICLRW 2025 Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling Youngseok Yoon, Dainong Hu, Iain Weissburg, Yao Qin, Haewon Jeong

TMLR 2024 A Survey on Data Selection for Language Models Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

ICMLW 2024 Gone with the Bits: Benchmarking Bias in Facial Phenotype Degradation Under Low-Rate Neural Compression Tian Qiu, Arjun Nichani, Rasta Tadayon, Haewon Jeong

NeurIPS 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon

AAAI 2022 Fairness Without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong, Hao Wang, Flávio P. Calmon