Papers by Xueren Ge

2 papers
EMSDialog: Synthetic Multi-person Emergency Medical Service Dialogue Generation from Electronic Patient Care Reports via Multi-LLM Agents (2026.findings-acl)

Copied to clipboard

Challenge: Existing medical dialogue corpora are largely dyadic or lack multi-party workflow and annotations needed for this setting.
Approach: They propose an ePCR-grounded, topic-flow-based multi-agent generation pipeline that iteratively plans, generates, and self-refines dialogues with rule-based factual and topic flow checks.
Outcome: The proposed pipeline yields a dataset of 4,414 synthetic multi-speaker EMS conversations annotated with 43 diagnoses, speaker roles, and turn-level topics.
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction (2024.emnlp-main)

Copied to clipboard

Challenge: Prior work focused on hierarchical label structures but neglected to incorporate external knowledge from medical guidelines.
Approach: They propose to incorporate external knowledge from medical guidelines into domain knowledge enhanced classification for diagnosis prediction.
Outcome: The proposed system outperforms state-of-the-art label-wise attention networks and transformer models on a real-world emergency medical services dataset and a public electronic health record dataset.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations