Hello, I am Zixiang Di. I am currently working at ByteDance (ByteDance Soaring Star Talent Program), focusing on LLM Agent Algorithms in the Agent Foundation team.
I received my Master’s degree in Computer Science from East China Normal University (ECNU), where I was advised by Bingdong Li. I received my bachelor’s degree in Computer Science from University of Shanghai for Science and Technology (USST).
My work and research interests focus on LLM Post-Training, Agent Evolution, and Agent Evaluation. I have published 5 papers in top international AI conferences such as NeurIPS, ACL, and AAAI, including associated competitions, and have 1 paper accepted by a top-tier SCI Q1 journal.
Feel free to reach out via email at dizixiang@163.com or aarondi1119@gmail.com if you have any ideas for collaboration!
🔥 News
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2025.05: 🎉🎉 Two papers accepted to ACL 2025 Main Conference!
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2025.05: 🎉🎉 One paper accepted to ACL 2025 XLLM Workshop!
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2025.05: 🎉🎉 Awarded 3rd place 🏆 in the XLLM@ACL2025 Shared Task-III: LLM for Structural Reasoning!
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2025.01: 🎉🎉 Invited to give a talk at the University of Toronto on our method from the NeurIPS 2024 LLM Merging Competition!
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2024.12: 🎉🎉 One paper accepted to ACL 2025!
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2024.12: 🎉🎉 One paper accepted to NeurIPS 2024 LMC!
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2024.12: 🎉🎉 Awarded 3rd place 🏆 in the NeurIPS 2024 LLM Merging Competition!
📝 Publications
| * indicates my Master’s advisor |
It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization
Bingdong Li*, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
IEEE TEVC
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Bingdong Li*, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
AAAI 2025 | Code
Efficient Model Merging with Strategic Model Selection, Merging, and Hyperparameter Optimization
Zixiang Di, Yaoming Yang, Mei Jiang, Bingdong Li∗, Hong Qian, Aimin Zhou
NeurIPS 2025 LMC
Jiahao Yuan, Zixiang Di, Zhiqing Cui, Guisong Yang, Usman Naseem
ACL 2025 Main
Jiahao Yuan, Dehui Du, Hao Zhang, Zixiang Di, Usman Naseem
ACL 2025 Main | Code
Jiahao Yuan, Xingzhe Sun, Xing Yu, Jingwen Wang, Dehui Du, Zhiqing Cui, Zixiang Di
ACL 2025 XLLM Workshop | Code
🎖 Honors and Awards
- 2024.09 Shanghai AI Lab: LLM Practical Training Camp, Outstanding Participant
- 2024.09 Huawei Cup: 6th China Postgraduate Artificial Intelligence Innovation Competition, National Second Prize
- 2022.05 Lanqiao Cup: C/C++ Programming, Shanghai Region, First Prize
- 2022.05 China Collegiate Programming Contest (CCPC): National Finals of Group Programming Ladder Tournament, Second Prize
- 2022.03 National Collegiate Algorithm Design and Programming Challenge, Silver Award
- 2021.12 TI Cup: National Undergraduate Electronic Design Contest, Shanghai Region, Second Prize
- 2021.12 Shanghai Government Scholarship
- 2021.12 Outstanding Student in USST
- 2019 - 2023 First-Class Scholarship for Academic Excellence in USST
📖 Education
- 2023.09 - 2026.06, M.S. in Computer Science, East China Normal University. Advisor: Bingdong Li.
- 2019.09 - 2023.06, B.S. in Computer Science, University of Shanghai for Science and Technology.
💻 Experience
- 2026.06 - Present, ByteDance, ByteDance Soaring Star Talent Program – LLM Agent Algorithms, Agent Foundation Team.
- 2025.08 - 2026.05, ByteDance, ByteDance Soaring Star Talent Program Intern – Multimodal Large Language Model Algorithm Engineer.
- 2025.03 - 2025.08, Ant Group, Research Intern – LLM Post Training, Ant Ling (Bailing) Team.