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Soongsil University

South Korea

9 papers here1 citations across 9
fields
  • nucl-th2
  • astro-ph.HE1
  • cs.AI1
  • cs.CV1
  • cs.IR1
  • cs.IT1
  • hep-ph1
  • physics.ao-ph1
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affiliations via OpenAlex

most citedMultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents

1 citations

researchers with a paper here
  • M. Cheoun3 · h 23
  • T. Miyatsu2 · h 10
  • Bong Gyun Shin1 · h 0
  • Chanjun Park1 · h 14
  • Chan Sik Lee1 · h 1
  • C. H. Hyun1 · h 2
  • Daewon Gwak1 · h 0
  • Dong-Hyun Jung1 · h 3
  • Duy Tran Thanh1 · h 2
  • G. Ramalho1 · h 4
  • Heu-Jeoung Lim1 · h 12
  • H. Suh1 · h 4
collaborating institutions
  • Tokyo University of ScienceJP2 papers
  • Daegu UniversityKR1 paper
  • Daejin UniversityKR1 paper
  • Inha UniversityKR1 paper
  • Inspire InstituteUS1 paper
  • Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoPT1 paper
  • Korea UniversityKR1 paper
  • Kyungpook National UniversityKR1 paper
  • LIP - Laboratory of Instrumentation and Experimental Particle PhysicsPT1 paper
  • RIKEN Nishina CenterJP1 paper
  • Samsung (South Korea)KR1 paper
  • Seoul National University of Science and TechnologyKR1 paper
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026★ 1 cited

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents

Joongmin Shin, Chanjun Park, Jeongbae Park +2

RAG-based QA has emerged as a powerful method for processing long industrial documents. However, conventional text chunking approaches often neglect complex and long industrial doc…

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