5 papers
Mixture-of-Translators: Translating KV Caches Across Heterogeneous Large Language Models
Jin-woo Lee, Minkyung Song, Junghyun Oh +4
Heterogeneous Large Language Model (LLM) systems increasingly rely on shared contexts, retrieved evidence, and multi-agent dialogue histories, yet their internal key-value (KV) cac…
Quantile-Free Uncertainty Quantification in Graph Neural Networks
Soyoung park, Hwanjun Song, Sungsu Lim
Uncertainty quantification (UQ) in graph neural networks (GNNs) is crucial in high-stakes domains but remains a significant challenge. In graph settings, message passing often reli…
FnRGNN: Distribution-aware Fairness in Graph Neural Network
Soyoung Park, Sungsu Lim
Graph Neural Networks (GNNs) excel at learning from structured data, yet fairness in regression tasks remains underexplored. Existing approaches mainly target classification and re…
Alibaba International E-commerce Product Search Competition DILAB Team Technical Report
Hyewon Lee, Junghyun Oh, Minkyung Song +2
This study presents the multilingual e-commerce search system developed by the DILAB team, which achieved 5th place on the final leaderboard with a competitive overall score of 0.8…
Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
SoYoung Park, Hyewon Lee, Mingyu Choi +4
Anomaly segmentation is essential for industrial quality, maintenance, and stability. Existing text-guided zero-shot anomaly segmentation models are effective but rely on fixed pro…