👋 Hi there! I'm Yejie Wang, currently an M.S. student in Artificial Intelligence at BUPT. I'm also part of the innovative team at Moonshot AI, where I contribute to cutting-edge AI projects. Previously, I earned my B.S. in Computer Science in 2019 and I also worked at Meituan.
🔍 My research interests lie in LLM Post-Training techniques and leveraging AI to solve complex reasoning tasks, with a particular focus on code-related domains.
💡 I'm passionate about pushing the boundaries of AI and always open to academic cooperation. If you're interested in collaborating on innovative AI projects, feel free to reach out! My research has been published in several notable conferences, including ACL, EMNLP, and ICLR. Some of my recent work includes:
- Kimi-K1.6-IOI & Kimi-K1.6 (Work In Progress)
- Kimi k1.5: Scaling reinforcement learning with llms
- AgentRefine: Enhancing Agent Generalization through Refinement Tuning (ICLR 2025)
- How do your code llms perform? empowering code instruction tuning with high-quality data (EMNLP 2025)
- Dolphcoder: Echo-locating code large language models with diverse and multi-objective instruction tuning (ACL 2024)
I am excited to continue exploring the transformative potential of AI in my new role and through my research.