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researcher

E. Kim

4 papers hereh-index 7106 citations13 works total

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.AI1
  • cs.HC1
same name
  • E. Kim — 30 papers, h 8
  • E. Kim — 2 papers, h 7
  • E. Kim — 2 papers, h 20
  • E. Kim — 1 paper, h 49
  • E. Kim — 1 paper, h 16
  • E. Kim — 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

collaborators

4 papers

cs.AI2025

A Field Guide to Deploying AI Agents in Clinical Practice

Jack Gallifant, Katherine C. Kellogg, Matt Butler +19

Large language models (LLMs) integrated into agent-driven workflows hold immense promise for healthcare, yet a significant gap exists between their potential and practical implemen…

cs.CL2025

Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training

Keyeun Lee, Seolhee Lee, Esther Hehsun Kim +9

Effective communication training is essential to preparing nurses for high-quality patient care. While standardized patient (SP) simulations provide valuable experiential learning,…

cs.HC2025

Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults' Career Exploration

Hayeon Jeon, Suhwoo Yoon, Keyeun Lee +9

Young adults often encounter challenges in career exploration. Self-guided interventions, such as the letter-exchange exercise, where participants envision and adopt the perspectiv…

cs.CL2025

SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent

Keyeun Lee, Seo Hyeong Kim, Seolhee Lee +8

Existing methods for simulating individual identities often oversimplify human complexity, which may lead to incomplete or flattened representations. To address this, we introduce…

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