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Yongrae Jo

KAIST AI

3 papers hereh-index 7391 citations10 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV1
affiliations
  • KAIST AI
same name
  • Yongrae Jo — 5 papers, h 5
  • Yongrae Jo — 3 papers, h 4
  • Yongrae Jo — 2 papers, h 1
  • Yongrae Jo — 1 paper

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 citedZero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment

5 citations · 5 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CL2023

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision

Seongyun Lee, Sue Hyun Park, Yongrae Jo +1

Large multimodal models suffer from multimodal hallucination, where they provide incorrect responses misaligned with the given visual information. Recent works have conjectured tha…

cs.CV2023★ 5 cited

Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment

Yongrae Jo, Seongyun Lee, Aiden SJ Lee +3

Dense video captioning, a task of localizing meaningful moments and generating relevant captions for videos, often requires a large, expensive corpus of annotated video segments pa…

cs.CL2023

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

Seonghyeon Ye, Doyoung Kim, Sungdong Kim +6

Evaluation of Large Language Models (LLMs) is challenging because instruction-following necessitates alignment with human values and the required set of skills varies depending on…

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