Zixin Wen

According to our database, Zixin Wen authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs.

Zixin Wen, Yifu Cai, Kyle Lee, Sam Estep, Joshua Sunshine, Aarti Singh, Yuejie Chi, Wode Ni

CoRR, March, 2026

Learn Hard Problems During RL with Reference Guided Fine-tuning.

Yangzhen Wu, Shanda Li, Zixin Wen, Xin Zhou, Ameet Talwalkar, Yiming Yang, Wenhao Huang, Tianle Cai

CoRR, March, 2026

On the Learning Dynamics of RLVR at the Edge of Competence.

Yu Huang, Zixin Wen, Yuejie Chi, Yuting Wei, Aarti Singh, Yingbin Liang, Yuxin Chen

CoRR, February, 2026

2025

Scaling Latent Reasoning via Looped Language Models.

Rui-Jie Zhu, Zixuan Wang, Kai Hua, Tianyu Zhang, Ziniu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jiajun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew Smith, Xingwei Qu, Mude Hui, Bohong Wu, Qiyang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jiaheng Liu, Jian Yang, Yunfeng Shi, Chenghua Lin, Enduo Zhao, Tianle Cai, Ge Zhang, Wenhao Huang, Yoshua Bengio, Jason Eshraghian

CoRR, October, 2025

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization.

Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers.

Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment.

Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Faster WIND: Accelerating Iterative Best-of-<i>N</i> Distillation for LLM Alignment.

Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling.

Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang

CoRR, 2024

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning.

Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

What Matters In The Structured Pruning of Generative Language Models?

Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li

CoRR, 2023

2022

The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning.

Zixin Wen, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Improving Multi-Modal Learning with Uni-Modal Teachers.

Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao

CoRR, 2021

Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning.

Zixin Wen, Yuanzhi Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning.

Zixin Wen

CoRR, 2020