Xinwei Wu

According to our database, Xinwei Wu authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation.

Renren Jin, Tianhao Shen, Xinwei Wu, Dan Shi, Haoran Sun, Wuwei Huang, Quandong Wang, Wei Liu, Jian Luan, Bin Wang, Deyi Xiong

CoRR, June, 2025

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation.

Weilong Dong, Xinwei Wu, Renren Jin, Shaoyang Xu, Deyi Xiong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Large Language Model Safety: A Holistic Survey.

Dan Shi, Tianhao Shen, Yufei Huang, Zhigen Li, Yongqi Leng, Renren Jin, Chuang Liu, Xinwei Wu, Zishan Guo, Linhao Yu, Ling Shi, Bojian Jiang, Deyi Xiong

CoRR, 2024

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?

Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong

CoRR, 2024

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons.

Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?

Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching.

Xinwei Wu, Weilong Dong, Shaoyang Xu, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Large Language Model Alignment: A Survey.

Tianhao Shen, Renren Jin, Yufei Huang, Chuang Liu, Weilong Dong, Zishan Guo, Xinwei Wu, Yan Liu, Deyi Xiong

CoRR, 2023

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models.

Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks.

Weilong Dong, Xinwei Wu, Junzhuo Li, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework.

Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

2021

Unbiased Learning to Rank in Feeds Recommendation.

Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang

Proceedings of the WSDM '21, 2021