Hello! I am a fourth-year Ph.D. student in Computer Science at Cornell University advised by Prof. Alexander Rush. My research interests lie in the broad field of machine learning and natural language processing, particularly in building an efficient language understanding system.

Current research directions


Efficient and collaborative machine learning systems

News


🔥 Oct 2023: One paper got accepted to NeurIPS 2023 - Tanh Works Better with Asymmetry.

🔥 May 2023: I was selected as an ML and Systems Rising Star 2023.

Publications

SEAL: Suite for Evaluating API-use of LLMs

Woojeong Kim, Ashish Jagmohan, Aditya Vempaty

NeurIPS Workshop Open-World Agents, 2024

[paper]

Tanh Works Better with Asymmetry

Dongjin Kim, Woojeong Kim, Suhyun Kim

NeurIPS, 2023
[paper]

Neuron Merging: Compensating for Pruned Neurons

Woojeong Kim, Suhyun Kim, Mincheol Park, Geonseok Jeon

NeurIPS, 2020

[paper] / [code]

Preprints

Reprune: Filter Pruning via Representative Election

Mincheol Park, Woojeong Kim, Suhyun Kim

ArXiv Preprint, 2020

[paper]

Education

Cornell University, NY, USA (Aug 2021 - Present)

Ph.D. in Computer Science

Yonsei University, Seoul, Korea (Mar 2014 - Feb 2019)

Bachelor of Arts in Applied Statistics

Bachelor of Science and Engineering in Computer Science and Engineering

University at Albany, SUNY, NY, USA, (Jan 2016 - May 2016)

Exchange Student, Department of Mathematics & Statistics

Experience

Emergence AI, NY, USA (May 2024 – Aug 2024)

Research Intern

Korea Institute of Science and Technology, Seoul, Korea (May 2019 – Jul 2021)

Research Intern, AI and Robotics Institute

Member of KIST Data Science Team

Yonsei University, Seoul, Korea (Oct 2017 - Aug 2018)

Undergraduate Research Intern, Data Engineering Laboratory

Advisor: Professor Sanghyun Park

Honors & Awards



A little bit about myself


My first name "우정" means "friendship" in Korean.

I love cooking, baking, and playing tennis!