activity
20212026
most citedA Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

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.HC2026

AI Content Moderation in Therapy Conversations

Jiwon Kim, Claire Wang, Taeung Yoon +2

Large language models (LLMs) are increasingly being used for emotional support. They are also being developed for formal therapy purposes. However, LLMs like ChaptGPT or Llama are…

cs.HC2026

LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback

Jiwon Kim, Maya Ajit, Sherry Gong +4

Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substanti…

cs.HC2026

AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?

Soorya Ram Shimgekar, Vipin Gunda, Jiwon Kim +3

Conversational AI systems are increasingly used for personal reflection and emotional disclosure, raising concerns about their effects on vulnerable users. Recent anecdotal reports…

cs.HC2026

PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support

Jiwon Kim, Violeta J. Rodriguez, Dong Whi Yoo +2

LLMs are increasingly used for mental health support, yet they can produce responses that are overly directive, inconsistent, or clinically misaligned. Most risk mitigation approac…

cs.CL2025

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…

cs.CL2021★ 1 cited

A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

Yoon Kyung Lee, Inju Lee, Jae Eun Park +3

Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an essential part of empathetic experiences. We provide here the framework for using NLP mo…