Sangjun Park
Ph.D. Student
Sangjun Park is a researcher dedicated to the realization of Artificial General Intelligence (AGI). He views Large Language Models (LLMs) as the most significant step toward general-purpose intelligence and analyzes them through the lens of cognitive functions. His research focuses on identifying the current limitations of LLMs and addressing them by drawing bio-inspired insights from human intelligence mechanisms and neural structures. Specifically, Sangjun is concentrating on enhancing LLM capabilities in memory, metacognition, and reasoning.
Fine-Tuning Language Models to Know What They Know 2026
Sangjun Park, Elliot Meyerson, Xin Qiu, Risto Miikkulainen, In Proceedings of the 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026), 2026.
Position: Hippocampal Explicit Memory Is the Cornerstone for AGI 2026
Sangjun Park, In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026 Position Paper Track), 2026.
Currently affiliated with Neural Networks