- 👋 Hi, I’m Xiangyang Li, a Researcher at Z.AI.
- 💻 My work mainly focuses on Code LLM post-training and Reinforcement Learning (RL). I led the construction of the
terminal-bench-verifiedandterminal-bench 2.1datasets. - ✨ We are actively looking for fresh graduates and interns to join our team. Feel free to send your resume directly to me.
Requirements:
- Graduated from a top-tier university, OR
- Published at least one paper in a top-tier computer science conference.
- 📫 How to reach me: xiangyangli@pku.edu.cn or xiangyang.li@aminer.cn
🕶️
learning
Do meaningful research
Highlights
Pinned Loading
-
TrickyGo/Dive-into-DL-TensorFlow2.0
TrickyGo/Dive-into-DL-TensorFlow2.0 Public本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
-
awesome-recommend-system-pretraining-papers
awesome-recommend-system-pretraining-papers PublicPaper List for Recommend-system PreTrained Models
-
CoIR-team/coir
CoIR-team/coir Public(ACL 2025 Main) A Comprehensive Benchmark for Code Information Retrieval.
-
Humanity-s-Last-Code-Exam/HLCE
Humanity-s-Last-Code-Exam/HLCE Public(EMNLP 2025 Findings) Source Evaluation scripts for Humanity's Last Code Exam
-
awesome-agentic-coding-papers
awesome-agentic-coding-papers PublicPaper List for Agentic Coding
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.


