12 citations · 16 across the 7 of their papers we have counts for
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cs.CL2024
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Juhyun Oh, Eunsu Kim, Jiseon Kim +4
Large language models (LLMs) often exhibit tendencies that diverge from human preferences, such as favoring certain writing styles or producing overly verbose outputs. While crucia…
cs.CY2024★ 12 cited
Ethics Pathways: A Design Activity for Reflecting on Ethics Engagement in HCI Research
Inha Cha, Ajit G. Pillai, Richmond Y. Wong
This paper introduces Ethics Pathways, a design activity aimed at understanding HCI and design researchers' ethics engagements and flows during their research process. Despite a st…
cs.CL2024
The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate
Juhyun Oh, Eunsu Kim, Inha Cha +1
This paper explores the assumption that Large Language Models (LLMs) skilled in generation tasks are equally adept as evaluators. We assess the performance of three LLMs and one op…