Hi there! I am currently working on LLMs alignment & agent systems at Qwen Team. Some topics I currently focus on
- structured outputs & complex instruction following
- personalization & user preference learning
- agent alignment & self-play algorithms
I am happy to chat and discuss potential collaborations, feel free to reach out by
🌟 Studying Zone
(2024-) 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
📈 "Accepted" Zone