Benchmarking Cognitive Biases in Large Language Models as Evaluators. - Ryan Koo; Minhwa Lee; Vipul Raheja; Jong Inn Park; Zae Myung Kim; Dongyeop Kang (ACL (Findings), 2024)

Under the Surface: Tracking the Artifactuality of LLM-Generated Data. - Debarati Das 004; Karin de Langis; Anna Martin-Boyle; Jaehyung Kim 001; Minhwa Lee; Zae Myung Kim; Shirley Anugrah Hayati; Risako Owan; Bin Hu; Ritik Parkar; Ryan Koo; Jong Inn Park; et al. (CoRR, 2024)

SelectLLM: Can LLMs Select Important Instructions to Annotate? - Ritik Sachin Parkar; Jaehyung Kim 001; Jong Inn Park; Dongyeop Kang (CoRR, 2024)

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 (ACL (1), 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, 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, 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, 2025)