Zixuan Wang

According to our database, Zixuan Wang authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

The Power of Power Law: Asymmetry Enables Compositional Reasoning.

Zixuan Wang, Xingyu Dang, Jason D. Lee, Kaifeng Lyu

CoRR, April, 2026

2025

What Makes a Reward Model a Good Teacher? An Optimization Perspective.

Noam Razin, Zixuan Wang, Hubert Strauss, Stanley Wei, Jason D. Lee, Sanjeev Arora

CoRR, March, 2025

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie

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

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought.

Jianhao Huang, Zixuan Wang, Jason D. Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Compositional Functions with Transformers from Easy-to-Hard Data.

Zixuan Wang, Eshaan Nichani, Alberto Bietti, Alex Damian, Daniel Hsu, Jason D. Lee, Denny Wu

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Learning and Transferring Sparse Contextual Bigrams with Linear Transformers.

Yunwei Ren, Zixuan Wang, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot.

Zixuan Wang, Stanley Wei, Daniel Hsu, Jason D. Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024