2025

Skywork Open Reasoner Series
Jujie He, Jiacai Liu, Chris Yuhao Liu, Rui Yan, Chaojie Wang, Peng Cheng, Xiaoyu Zhang, Fuxiang Zhang, Jiacheng Xu, Wei Shen, Siyuan Li, Liang Zeng, Tianwen Wei, Cheng Cheng, Yang Liu, Yahui Zhou
2025
Models, Data, Code, Blog (SOTA 7B and 32B reasoning models for math and code) (also see media coverage)

LLM Unlearning via Loss Adjustment with Only Forget Data
Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei
ICLR 2025
2024
arXiv

2024

Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization
Jiacai Liu, Chaojie Wang, Chris Yuhao Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu
2024
arXiv

Skywork o1 Open Series
Skywork o1 Team
2024
Models (also see media coverage)

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
2024
arXiv, models (#1 on RewardBench, more than half a million downloads as of the end of 2024!)

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
2024
arXiv

Language Model Unlearning via Embedding-Corrupted Prompts
Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
NeurIPS 2024
2024
arXiv, code, project page

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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