Jong Inn Park

According to our database, Jong Inn Park authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Andreas Schramm, Bin Hu, Khanh Chi Le, Michael C. Mensink, Ahn Thu Tong, Dongyeop Kang

CoRR, July, 2025

Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation.

Jong Inn Park, Maanas Taneja, Qianwen Wang, Dongyeop Kang

CoRR, April, 2025

A Framework for Robust Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Bin Hu, Khanh Chi Le, Andreas Schramm, Michael C. Mensink, Andrew Elfenbein, Dongyeop Kang

CoRR, April, 2025

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Andreas Schramm, Bin Hu, Khanh Chi Le, Dongyeop Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SelectLLM: Can LLMs Select Important Instructions to Annotate?

Ritik Sachin Parkar, Jaehyung Kim, Jong Inn Park, Dongyeop Kang

CoRR, 2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data.

Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang

CoRR, 2024

Benchmarking Cognitive Biases in Large Language Models as Evaluators.

Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang

Proceedings of the Findings of the Association for Computational Linguistics, 2024