Projects

Asterisks (“*”) indicate equal contribution.
These include coursework, side projects, and unpublished research work.

	SciTok: Generating and Hosting Short Video Summaries of Academic Papers Tripp Dow, Hyunwoo Yang, Jong Inn Park, Dongyeop Kang, more collaborators... Minnesota NLP Lab, University of Minnesota, 2024 (Working in Progress) Productizing the prototype.
	CogBench: Evaluating Cognitive Capabilities of Large Language Models Karin de Langis, Jong Inn Park, Masha Volkova, Bin Hu, Dongyeop Kang, more collaborators... Minnesota NLP Lab, University of Minnesota, 2024 (Working in Progress) Constructing web application to collect researchers’ cognitive experiments with LLM
	CustomInt: Human and LLM Collaborated Instruction-tuning Datasets Builder Shirley Anugrah Hayati, Ritik Parkar, Jong Inn Park, Jaehyung Kim, Qianwen Wang, Dongyeop Kang Minnesota NLP Lab, University of Minnesota, 2024 (Working in Progress) Building complex web application to help researchers generate and select high-quality instruction-tuning datasets collaborating with LLM
	GraphSumm: Graphical Text Summarization Using Generative AI Jong Inn Park MS capstone, University of Minnesota, 2024  paper /  code / Web application leveraging OpenAI API to transform long transcribed speech data into structured graphical visualizations, enhancing comprehension and engagement in complex meetings or Q&A sessions.
	talkative-llm: Open-sourced Large Language Model Platform Zae Myung Kim, Jong Inn Park Minnesota NLP Lab, University of Minnesota, 2023  code / talkative-llm provides a wrapper around various large language models so that inference (i.e., generation) can be done in a coherent manner. (Used in NLP class - CSCI5541 Fall 2023 / Spring 2024) (The repository is under maintenance, so it has been turned private.)