1 citations · 1 across the 12 of their papers we have counts for
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One-Sided Quantile Coupling for Flow Matching
Jin-Young Kim, So-Yoon Cho, Hyun-Gyoon Kim
Flow Matching trains continuous-time generative models by regressing the velocity field of a probability path between a simple source distribution and a target data distribution. T…
Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments
Soonwoo Kwon, Jin-Young Kim, Hyojun Go +1
We present a novel study on enhancing the capability of preserving the content in world models, focusing on a property we term World Stability. Recent diffusion-based generative mo…
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
Soonwoo Kwon, Sojung Kim, Seunghyun Lee +3
Computerized Adaptive Testing (CAT) is a widely used, efficient test mode that adapts to the examinee's proficiency level in the test domain. CAT requires pre-trained item profiles…