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20222026
most citedFactKG: Fact Verification via Reasoning on Knowledge Graphs

5 citations · 10 across the 11 of their papers we have counts for

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9 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.CL2025

ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation

Jiho Kim, Junseong Choi, Woosog Chay +4

As large language models (LLMs) become increasingly integrated into daily life, there is growing demand for AI assistants that are not only reactive but also proactive and personal…

cs.CL2025

R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs

Sumin Jo, Junseong Choi, Jiho Kim +1

Recent studies have combined Large Language Models (LLMs) with Knowledge Graphs (KGs) to enhance reasoning, improving inference accuracy without additional training while mitigatin…

cs.CL2024

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Gyubok Lee +6

Electronic Health Records (EHRs) are integral for storing comprehensive patient medical records, combining structured data (e.g., medications) with detailed clinical notes (e.g., p…

cs.CL2024

DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents

Jiho Kim, Woosog Chay, Hyeonji Hwang +6

Recent advancements in Large Language Models (LLMs) have significantly enhanced conversational agents, making them applicable to various fields (e.g., education, entertainment). De…

cs.CL2023★ 4 cited

KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models

Jiho Kim, Yeonsu Kwon, Yohan Jo +1

While large language models (LLMs) have made considerable advancements in understanding and generating unstructured text, their application in structured data remains underexplored…