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J. Kim

8 papers hereh-index 11448 citations65 works total

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

author position
  • first author3
  • middle author4
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.HC4
same name
  • J. Kim — 127 papers, h 19
  • J. Kim — 76 papers, h 39
  • J. Kim — 61 papers
  • J. Kim — 45 papers, h 2
  • J. Kim — 45 papers, h 7
  • J. Kim — 20 papers, h 10

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
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Junseong Choi +10

Data consistency between unstructured clinical notes and structured tables in Electronic Health Records (EHRs) is essential for patient safety and clinical decision-making. However…

cs.CL2026

Being Kind Isn't Always Being Safe: Diagnosing Affective Hallucination in LLMs

Sewon Kim, Jiwon Kim, Seungwoo Shin +4

Large Language Models (LLMs) are increasingly engaged in emotionally vulnerable conversations that extend beyond information seeking to moments of personal distress. As they adopt…

cs.CL2025

Exploration of COVID-19 Discourse on Twitter: American Politician Edition

Cindy Kim, Daniela Puchall, Jiangyi Liang +1

The advent of the COVID-19 pandemic has undoubtedly affected the political scene worldwide and the introduction of new terminology and public opinions regarding the virus has furth…

cs.CL2024

Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History

Mingi Sung, Seungmin Lee, Jiwon Kim +1

Translating conversational text, particularly in customer support contexts, presents unique challenges due to its informal and unstructured nature. We propose a context-aware LLM t…

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