Hi there! I am an MS student from Cornell, focusing on scalable language modeling, data generation, and agent systems.

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

🌟 Studying Zone

I am collaborating with Cornell ICPC and Millennium to build efficient 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.

Previously, I led the prior work of ALICE called Voice2Action with Cornell XRC, an Unity Package for real-time code execution in VR.

I am also working on large-scale generation augmented retrieval systems (opposed to RAG) at Cornell NLP.

I used to work on graph machine learning at AWS AI Lab (2021-2022) and contribute 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