Resume
Academic Achievements
- Tensor Product Attention Is All You Need, NeurIPS 2025 Spotlight
- Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment, ICML 2025
- Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts, ACL 2025 Findings
- Augmenting Math Word Problems via Iterative Question Composing, AAAI 2025
- Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks, ICLR 2025 Spotlight
- Cumulative Reasoning with Large Language Models, Transactions on Machine Learning Research (TMLR)
- SEAL: Simultaneous Label Hierarchy Exploration and Learning, TMLR
- Information Flow in Self-Supervised Learning, ICML 2024
- Matrix Information Theory for Self-Supervised Learning, ICML
Background
- PhD student at Princeton University, focusing on building scalable and capable large language models (LLMs)
- Research interests include improving LLM reasoning, developing new attention mechanisms and model architectures, and aligning model behavior with human preferences via general preference models
- Former visiting researcher at UCLA AGI Lab
- Top Seed researcher with the Seed LLM (Foundation Model) Team, working on LLM pretraining and scaling
- Currently seeking Summer 2026 internship or residency opportunities at industry AI labs