Welcome to Yang's GitHub

Hi there! I lead fundamental agentic research at Qwen Team.

Some topics I am interested in include

• code/tool centric agentic rl
• context/memory rl, active experience learning
• environment scaling rl from pre-training

I am happy to chat and discuss potential collaborations, feel free to reach out by

🌟 Studying Zone

(2025.06) My thought about agentic rl training.

(2024.09-) I joined Qwen Team as a researcher 🥝!

(2024.01-) I am part-time collaborating with Cornell ICPC and Millennium to build LLMs for code and data generation.

• This work is called ALICE (Aligning Language models for Interactive Code Execution), find more about it at alicellm.github.io.
• ALICE is a meta-agent collaboration system that generates high-quality data through multi-turn interactions and feedback without human intervention.
• It produces multimodal data with traces from agent strategies like ReAct and Reflexion, which are scarce but offer potential for aligning advanced LLMs.

(2023-2024) I I led the prior work of ALICE called Voice2Action with Cornell XRC, an Unity Package for real-time code execution in VR; and studied on large-scale generation augmented retrieval systems (opposed to RAG) at Cornell NLP.

(2021-2022) I interned on graph machine learning at AWS AI Lab and contributed to the open source Deep Graph Library.

👀 Chilling Zone

I like programming! I lead the "Cornell Tech" Group at Cornell ICPC and won the Top 20% in 2023 Regional!

I enjoy cooking, listening to music of all forms, playing ping-pong, reading science fiction, and more!

⚡ Developing Zone