Namkoong, Hongseok

Robust fine-tuning of zero-shot models

Wortsman, M., Ilharco, G., Kim, J. W., Li, M., Kornblith, S., Roelofs, R., Lopes, R. G., Hajishirzi, H., Farhadi, A., Namkoong, H., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 428

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Wortsman, M., Ilharco, G., Gadre, S. Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A. S., Namkoong, H., Farhadi, A., Carmon, Y., Kornblith, S., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 307

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

Hu, L., Jiao, J., Liu, J., Ren, Y., Wen, Z., Zhang, K., Zhang, X., Gao, X., He, T., Hu, F., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

PersonalLLM: Tailoring LLMs to Individual Preferences

Zollo, T. P., Siah, A. W. T., Ye, N., Li, A., & Namkoong, H. (2024) · arXiv

Recommender Systems and TechniquesTopic Modeling

Cited by 1