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Mingyu Kim

9 papers hereh-index 454 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL2
  • cs.CV2
  • cs.HC2
  • cs.SE1
same name
  • Mingyu Kim — 15 papers, h 3
  • Mingyu Kim — 5 papers, h 2
  • Mingyu Kim — 4 papers, h 3
  • Mingyu Kim — 1 paper, h 11
  • Mingyu Kim — 1 paper, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedAmplifying Minority Voices: AI-Mediated Devil's Advocate System for Inclusive Group Decision-Making

17 citations · 19 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.HC2026

Investigating LLM-Powered Dissenting Minority Support in Power-Imbalanced Group Decision-Making: Counterargument and Mediation as Intervention Strategies

Soohwan Lee, Seoyeong Hwang, Mingyu Kim +2

Minority viewpoints are often suppressed in power-imbalanced group decision-making due to social pressure to comply with the majority. To address this problem, we developed an LLM-…

cs.CV2026

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices

Kim Jun-Seong, Mingyu Kim, GeonU Kim +2

We introduce Fact-Hash, a novel parameter-encoding method for training on-device neural radiance fields. Neural Radiance Fields (NeRF) have proven pivotal in 3D representations, bu…

cs.CL2026

HybridRAG: A Practical LLM-based ChatBot Framework based on Pre-Generated Q&A over Raw Unstructured Documents

Sungmoon Kim, Hyuna Jeon, Dahye Kim +3

Retrieval-Augmented Generation (RAG) has emerged as a powerful approach for grounding Large Language Model (LLM)-based chatbot responses on external knowledge. However, existing RA…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.