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2020 – today
- 2025
[j1]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:
Rethinking machine unlearning for large language models. Nat. Mac. Intell. 7(2): 181-194 (2025)- [c2]Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei:
LLM Unlearning via Loss Adjustment with Only Forget Data. ICLR 2025 - [i10]Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei:
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. CoRR abs/2505.13312 (2025) - [i9]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, Bo An, Yang Liu, Yahui Zhou:
Skywork Open Reasoner 1 Technical Report. CoRR abs/2505.22312 (2025) - [i8]Liang Zeng, Yongcong Li, Yuzhen Xiao, Changshi Li, Chris Yuhao Liu, Rui Yan, Tianwen Wei, Jujie He, Xuchen Song, Yang Liu, Yahui Zhou:
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs. CoRR abs/2506.19290 (2025) - [i7]Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, Jujie He, Jiacai Liu, Chaojie Wang, Rui Yan, Wei Shen, Fuxiang Zhang, Jiacheng Xu, Yang Liu, Yahui Zhou:
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy. CoRR abs/2507.01352 (2025) - [i6]Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinglong Pang, Wei Wei, Yujia Bao, Yang Liu:
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning. CoRR abs/2511.05784 (2025) - 2024
- [c1]Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu:
Large Language Model Unlearning via Embedding-Corrupted Prompts. NeurIPS 2024 - [i5]Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu:
Large Language Model Unlearning via Embedding-Corrupted Prompts. CoRR abs/2406.07933 (2024) - [i4]Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei:
LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR abs/2410.11143 (2024) - [i3]Chris Yuhao Liu, Liang Zeng, Jiacai Liu, Rui Yan, Jujie He, Chaojie Wang, Shuicheng Yan, Yang Liu, Yahui Zhou:
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs. CoRR abs/2410.18451 (2024) - [i2]Jiacai Liu, Chaojie Wang, Chris Yuhao Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu, Yahui Zhou:
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization. CoRR abs/2412.18279 (2024) - 2023
- [i1]Chris Yuhao Liu, Jeffrey Flanigan:
Understanding the Role of Optimization in Double Descent. CoRR abs/2312.03951 (2023)
Coauthor Index
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