26 citations · 41 across the 6 of their papers we have counts for
7 papers
K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance
Eunbyeol Cho, Yunseung Lee, Mirae Kim +3
Large Language Models (LLMs) have advanced financial automation through Retrieval-Augmented Generation (RAG), yet hallucinations remain a critical barrier to deployment in high-sta…
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Eunbyeol Cho, Jiyoun Kim, Minjae Lee +2
Electronic Health Records (EHR) are time-series relational databases that record patient interactions and medical events over time, serving as a critical resource for healthcare re…
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…
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
Seongsu Bae, Daeun Kyung, Jaehee Ryu +8
Electronic Health Records (EHRs), which contain patients' medical histories in various multi-modal formats, often overlook the potential for joint reasoning across imaging and tabl…
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
Sunjun Kweon, Junu Kim, Jiyoun Kim +12
The development of large language models tailored for handling patients' clinical notes is often hindered by the limited accessibility and usability of these notes due to strict pr…
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
Kyunghoon Hur, Jungwoo Oh, Junu Kim +6
Despite the abundance of Electronic Healthcare Records (EHR), its heterogeneity restricts the utilization of medical data in building predictive models. To address this challenge,…
GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source Learning
Kyunghoon Hur, Jungwoo Oh, Junu Kim +7
Despite the remarkable progress in the development of predictive models for healthcare, applying these algorithms on a large scale has been challenging. Algorithms trained on a par…