1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
Minsang Kim, Seungjun Baek
Large language models (LLMs) closely interact with humans, and thus need an intimate understanding of the cultural values of human society. In this paper, we explore how open-sourc…
eess.IV2023★ 1 cited
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets
Dongik Shin, Beomsuk Kim, Seungjun Baek
Automated segmentation of ultrasound images can assist medical experts with diagnostic and therapeutic procedures. Although using the common modality of ultrasound, one typically n…
cs.AI2022★ 1 cited
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion
Minsang Kim, Seungjun Baek
Real-world knowledge graphs (KG) are mostly incomplete. The problem of recovering missing relations, called KG completion, has recently become an active research area. Knowledge gr…