Wenxuan Zhou

According to our database, Wenxuan Zhou authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.

Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, Wenxuan Zhou

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

2025

MUSIC: MUlti-Step Instruction Contrast for Multi-Turn Reward Models.

Wenzhe Li, Shujian Zhang, Wenxuan Zhou, John Lambert, Chi Jin, Andrew Hard, Rajiv Mathews, Lun Wang

CoRR, December, 2025

Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process.

Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang

CoRR, December, 2025

Principled Foundations for Preference Optimization.

Wenxuan Zhou, Shujian Zhang, Brice Magdalou, John Lambert, Ehsan Amid, Richard Nock, Andrew Hard

CoRR, July, 2025

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.

Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

T-REG: Preference Optimization with Token-Level Reward Regularization.

Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.

Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao

CoRR, 2024

WPO: Enhancing RLHF with Weighted Preference Optimization.

Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.

Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu

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