1 citations · 1 across the 6 of their papers we have counts for
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Gender Bias in LLM-generated Interview Responses
Haein Kong, Yongsu Ahn, Sangyub Lee +1
LLMs have emerged as a promising tool for assisting individuals in diverse text-generation tasks, including job-related texts. However, LLM-generated answers have been increasingly…
FCC: Fully Connected Correlation for One-Shot Segmentation
Seonghyeon Moon, Haein Kong, Muhammad Haris Khan +2
Few-shot segmentation (FSS) aims to segment the target object in a query image using only a small set of support images and masks. Therefore, having strong prior information for th…
Examining Racial Stereotypes in YouTube Autocomplete Suggestions
Eunbin Ha, Haein Kong, Shagun Jhaver
Autocomplete is a popular search feature that predicts queries based on user input and guides users to a set of potentially relevant suggestions. In this study, we examine what You…
Judging from Support-set: A New Way to Utilize Few-Shot Segmentation for Segmentation Refinement Process
Seonghyeon Moon, Qingze, Liu +2
Segmentation refinement aims to enhance the initial coarse masks generated by segmentation algorithms. The refined masks are expected to capture more details and better contours of…