Hello! I am a master’s student at Zhejiang University, where I am advised by Prof. Zuozhu Liu (刘佐珠) and expect to graduate in 2026. My research focuses on Large Language Models, specifically in areas like Reinforcement Learning, Post-training, Agent, and their applications in Machine Translation. I am now interested in Multimodal and Unified Model.

I am actively seeking a PhD position for Fall 2026 and am also enthusiastic about internship and full-time opportunities in the industry. I am a highly self-motivated and quick learner with strong communication, collaboration, and practical engineering skills. I am driven by a desire to pursue research directions that are both general and impactful. If you are seeking any form of cooperation, please feel free to email me at zhaopengfeng424@gmail.com.

I earned my Bachelor’s degree in Automation from the Harbin Institute of Technology, Shenzhen (HITSZ). As an undergraduate, I had the valuable opportunity to be a research intern at the City University of Hong Kong under the guidance of Prof. Shiqi Wang (王诗淇) . I’ve also been fortunate to gain industry experience at Alibaba and Xiaohongshu, and to collaborate with incredible mentors like Yu Cao (曹宇) , and Shaosheng Cao (曹绍升). I have also worked with Yan Zhang (张琰) and Baoliang Chen (陈宝亮), whose guidance has been invaluable.

My research has led to several publications at top-tier AI conferences, including ACL , EMNLP , and NAACL.

Outside of research, I am a strong believer in knowledge sharing. I previously co-operated the DLNLP community, which grew to over 100,000 subscribers. In 2024, I started my own academic paper-sharing account on Xiaohongshu (Rednote), “nlper今天读paper了吗”, which has quickly grown to a community of over 13,000 followers. I also stay active and energized through sports. I’m a certified National Level 2 Basketball Referee🏀, a fitness enthusiast🎽, a runner👟, and a former competitive rower🚣.

🔥 News

• 2025.05: 🎉 One paper was accepted to ACL 2025.
• 2025.01: 📕 My academic sharing account on Xiaohongshu (Rednote) reached over 10,000 followers.
• 2025.01: 🎉 One paper was accepted to NAACL 2025 Findings.
• 2024.09: 🎉 One paper was accepted to EMNLP 2024.
• 2024.07: 🏆 Our team won 2nd Place in the KDD Cup 2024 Reasoning Track (Best Student Team Award; Team Lead).
• 2023.09: 🎉 One paper was accepted to EMNLP 2023 Findings.

📝 Selected Research Papers

My full paper list is shown at my google scholar.

Post-train/Reinforcement Learning in MT

• EMNLP 2024 Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level, Zhaopeng Feng*, Ruizhe Chen*, Yan Zhang, et al.
• Pre-print MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning, Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, et al.
• Pre-print MT^3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning, Zhaopeng Feng*, Yupu Liang*, Shaosheng Cao, et al.

Agent/Multi-Agent in MT

• ACL 2025 M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation, Zhaopeng Feng*, Jiayuan Su*, Jiamei Zheng, et al.
• NAACL 2025 Findings TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement, Zhaopeng Feng*, Yan Zhang*, et al.

Text Embedding/Test-time Alignment/Reasoning

• ENMLP 2023 Findings How Well Do Text Embedding Models Understand Syntax?, Yan Zhang*, Zhaopeng Feng*, Zhiyang Teng, Zuozhu Liu, Haizhou Li.
• Pre-print MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling, Zhaopeng Feng*, Jiahan Ren*, Jiayuan Su*, et al.
• Pre-print CP-Router: An Uncertainty-Aware Router Between LLM and LRM, Jiayuan Su*, Fulin Lin*, Zhaopeng Feng*, et al.

🕊️Interesting Experience

• 2025.06 Certified as a National Level 2 Basketball Referee.
• 2024.07 On vacation in Spain and Portugal.
• 2024.01 Certified as a National Level 3 Basketball Referee.
• 2023.12 Completed my first half marathon at Qiandao Lake.
• 2023.07 On vacation in Thailand.
• 2022.10 Secured 3rd Place in the Men’s Eight (M8+) at the Shenzhen Inter-collegiate Rowing League, representing HITSZ.
• 2020.01 Successfully lose weight (from 96.5KG to 75KG).

📖 Educations

• 2023.09 - 2026, Master, Zhejiang University, Hangzhou.
• 2019.09 - 2023.06, Undergraduate, Harbin Institute of Technology (Shenzhen), Shenzhen.

💻 Internships

• 2025.03 - 2025.06, Xiaohongshu (Rednote), advised by Shaosheng Cao, Shanghai.

• 2024.11 - 2025.03, Alibaba, advised by Yu Cao, Hangzhou.

⏱️ Last Update: 2025/06/21