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Young-Ho Kim

NAVER AI Lab

4 papers hereh-index 5389 citations7 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.HC2
affiliations
  • NAVER AI Lab
Homepage
same name
  • Young-Ho Kim — 9 papers, h 6
  • Young-Ho Kim — 6 papers, h 2
  • Young-Ho Kim — 5 papers, h 8
  • Young-Ho Kim — 4 papers, h 5
  • Young-Ho Kim — 3 papers, h 2
  • Young-Ho Kim — 3 papers, h 3

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

most citedLeveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data

72 citations · 119 across the 4 of their papers we have counts for

collaborators
Showing cs.HCShow all

2 papers · 1 filter

cs.HC2023★ 44 cited

AVscript: Accessible Video Editing with Audio-Visual Scripts

Mina Huh, Saelyne Yang, Yi-Hao Peng +3

Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study r…

cs.HC2023★ 72 cited

Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data

Jing Wei, Sungdong Kim, Hyunhoon Jung +1

Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on natur…

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