About
Hi there! 🙌
I’m Jong Inn Park (박종인), known as Jong. As a Full-Stack Web Developer in TNTLAB (Psychology Department, University of Minnesota) led by Prof. Richard Landers, I build a AI coaching application and integrate Large Language Model (LLM) workflows.
Previously, I was a Research Engineer in the Minnesota NLP Lab under Prof. Dongyeop Kang, researching multi-agent application and LLMs cognitive evaluation. I earned my M.S. in Data Science from the University of Minnesota in June 2024. During my study, I interned at Piper Sandler, prototyping a Streamlit app for topic models and sentiment analysis of earnings call transcripts. Earlier, I spent three and a half years at Samsung Card as a Data Analyst, developing NLP-driven call-quality assurance systems.
News
| May 16, 2025 | I wrapped up my role as a Research Engineer at MinnesotaNLP Lab. |
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| May 15, 2025 | Our work on “How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs” was accepted to appear at ACL 2025 Main! |
| Apr 26, 2025 | SciTalk, a creator-inspired, multi-LLM workflow that converts complex papers into accurate, engaging short-form videos, was released on arXiv. Check out our project page! |
| Apr 03, 2025 | Just released CognitivEval, an open framework for systematically probing LLM cognition with prompt permutations and probability testing — arXiv. |
| Jul 01, 2024 |
I’m happy to announce that I’m starting two new roles.
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| Jun 17, 2024 | I’m thrilled to announce that I have graduated with a Master’s degree in Data Science from the University of Minnesota. |
| May 21, 2024 | Our research on “Consumer Engagement With AI-Powered Search Engines and Implications for the Future of Search Advertising” was accepted for presentation in AEJMC August 7th - 11th. |
| May 16, 2024 | Our research on Benchmarking Cognitive Biases in Large Language Models as Evaluators was accepted to appear at ACL 2024 Findings. |
| Apr 19, 2024 | I completed my internship at Piper Sandler. |
| Apr 01, 2024 | Our work exploring potential changes in search tactics and advertising engagement influenced by generative AI-powered search engines has been submitted to the AEJMC conference. |