ziyuye [at] uchicago.edu
I am a PhD student in Computer Science at The University of Chicago.
I work at Google DeepMind's Gemini team as a student researcher, previously a research intern.
I work on large model self-training, and automated reasoning (e.g., neural theorem proving).
I was the co-founder of Eigent AI, developed from and open-sourced at Camel AI.
[eva] Evolving Alignment via Asymmetric Self-Play
Scalable Preference Fine-Tuning Beyond Static Human Prompts
Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury,
Quoc V. Le, Qijun Tan, Yuan Liu
A preliminary version in Language Gamification Workshop at NeurIPS (spotlight), 2024.
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[RiR] Reasoning in Reasoning
A Hierarchical Framework for Neural Theorem Proving
Ziyu Ye, Jiacheng Chen, Johnathan Light, Yifei Wang, Jiankai Sun,
Mac Schwager, Philip Torr, Guohao Li, Yuxin Chen, Kaiyu Yang, Yisong Yue, Ziniu Hu
A preliminary version in MATH-AI Workshop at NeurIPS, 2024.
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Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang*, Kaiwen Hu*, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
NeurIPS, 2024
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Don’t Be Pessimistic Too Early: Look K Steps Ahead!
Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
AISTATS, 2023
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Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
NeurIPS, 2023
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Provably Efficient Quantum Algorithms for Large-Scale Machine Learning Models
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
Nature Communications, 2023
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Generalization and Memorization in Sparse Neural Networks
Sparsity in Neural Networks Workshop, 2022
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Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Heather Zheng
IJCAI, 2021
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