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Hongjiao Guan

ACL 2026×3智能体与工具推理安全社会与人本检索与知识
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0 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #4/9ACL 2026Poster· Natural Language Processing

SOAPT riage: SOAP -Guided Multi-View Clinical Text Modeling Framework for Automated ESI Prediction

Enming Wang · Jianlei Wang · Xueping Peng · Hongjiao Guan · Yinglong Wang · Sibo Wei · Jianbin Guo · Ruifeng Xu · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)

摘要

Emergency departments (ED) rely on the Emergency Severity Index (ESI) to assess patient acuity and prioritize care, a process that is largely driven by clinical triage text. Despite recent progress in automated ESI prediction, two fundamental challenges remain: the scarcity of high-quality triage...

智能体与工具推理安全OpenReview 项目页
作者位次 #4/8ACL 2026Workshop· ACL System Demonstrations

J oint C oder: Exploring Automated ICD Coding on Real-World C hinese EHR s with a Multi-Agent Framework

Kangjun Liu · Zhenyu Li · Jianlei Wang · Hongjiao Guan · Ying Lian · Guoqiang Chen · Tao Xin · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)

摘要

Automated ICD coding is a critical task for standardizing clinical information from electronic health records (EHRs) and supporting downstream healthcare administration.However, existing automated ICD coding systems face several fundamental challenges. First, the majority of existing research foc...

智能体与工具社会与人本安全OpenReview 项目页
作者位次 #8/10ACL 2026Findings· Findings of ACL

D ^2 - RAG : Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding

Jinshuo Zhang · Xiaoding Zhou · Weiyu Zhang · Guoqiang Chen · Ying Lian · Xiaoyang Meng · Yonghe Chen · Hongjiao Guan · Jiasheng Si · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)

摘要

Retrieval-Augmented Generation (RAG) mitigates hallucinations in large language models by incorporating external knowledge. However, retrieval does not always return relevant documents and may return noisy ones. Indiscriminately retrieving and utilizing this external knowledge can interfere with...

检索与知识代码推理OpenReview 项目页

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