Xinwei Wu

According to our database, Xinwei Wu authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation.

Jiang Zhou, Xiaohu Zhao, Xinwei Wu, Tianyu Dong, Hao Wang, Yangyang Liu, Heng Liu, Linlong Xu, Longyue Wang, Weihua Luo, Deyi Xiong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation.

Hao Wang, Linlong Xu, Heng Liu, Yangyang Liu, Xiaohu Zhao, Bo Zeng, Liangying Shao, Yichen Dong, Xinwei Wu, Jiang Zhou, Tianyu Dong, Xiangxiang Zeng, Longyue Wang, Weihua Luo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models.

Ling Shi, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Yangyang Liu, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs.

Xinwei Wu, Heng Liu, Xiaohu Zhao, Yuqi Ren, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo, Kaifu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Challenging Multilingual LLMs: A New Taxonomy and Benchmark for Unraveling Hallucination in Translation.

Xinwei Wu, Heng Liu, Jiang Zhou, Xiaohu Zhao, Linlong Xu, Longyue Wang, Weihua Luo, Kaifu Zhang

CoRR, October, 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

DiplomacyAgent: Do LLMs Balance Interests and Ethical Principles in International Events?

Jianxiang Peng, Ling Shi, Xinwei Wu, Hanwen Zhang, Fujiang Liu, Haocheng Lyu, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards a Unified Paradigm of Concept Editing in Large Language Models.

Zhuowen Han, Xinwei Wu, Dan Shi, Renren Jin, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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 37: 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