2024
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Chris Yuhao Liu, Liang Zeng, Jiacai Liu, Rui Yan, Jujie He, Chaojie Wang, Shuicheng Yan, Yang Liu, Yahui Zhou
arXiv, models
Language Model Unlearning via Embedding-Corrupted Prompts
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
NeurIPS 2024
arXiv, code, project page
Rethinking Machine Unlearning for Large Language Models
Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
Nature Machine Intelligence
arXiv
2023
Understanding the Role of Optimization in Double Descent
Chris Yuhao Liu, Jeffrey Flanigan
NeurIPS 2023 Optimization for Machine Learning Workshop
arXiv, OpenReview, poster
Understanding the Role of Optimization and Loss Function in Double Descent
Chris Yuhao Liu
Master Thesis
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