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Kaehyun Um
Observed names:
KaeHyun Um,
Um, Kaehyun
Institution:
Yonsei University
Observed institution:
Yonsei University
ORCID:
0009-0005-2366-5296
Observed ORCID:
0009-0005-2366-5296
OpenAlex ID:
A5115087012
OmEGa( Ω ): Ontology-based information extraction framework for constructing task-centric knowledge graph from manufacturing documents with large language model
2024
·
Midan Shim
, Hyojun Choi
, et al.
·
Advanced Engineering Informatics
·
30
K-EXAONE 2.0 Technical Report
2026
·
Choi, Eunbi
, Choi, Kibong
, et al.
·
arXiv (Cornell University)
PDF
Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement
2026
·
Shim, Midan
, Hwang, Seokju
, et al.
·
arXiv (Cornell University)
PDF
RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
2026
·
Kaehyun Um
, KyuHwan Yeom
, et al.
·
International World Wide Web Conference (WWW)
RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
2026
·
Um, Kaehyun
, Yeom, KyuHwan
, et al.
·
arXiv (Cornell University)
PDF
RPO-RAG models
2026
·
Um, Kaehyun
·
Zenodo (CERN European Organization for Nuclear Research)
Anchor-Guided Structured Grounding with Cross-Entity Interaction for Grounded Multimodal Named Entity Recognition
2026
·
Minji Kim
, Yusol Oh
, et al.
·
SSRN Electronic Journal
Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement
2026
·
Midan Shim
, Seokju Hwang
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation
2026
·
Hyeongjun Yang
, Donghyun Kim
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Anchor-Guided Structured Grounding with Cross-Entity Interaction for Grounded Multimodal Named Entity Recognition
2026
·
Minji Kim
, Yusol Oh
, et al.
·
SSRN Electronic Journal
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Works count:
10
Citation count:
30
H-index:
1
I10-index:
1
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