Cover Image

Small Language Models for Emergency Departments Decision Support: A Benchmark Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zirui, Wu, Jiajun, Teitge, Braden, Holodinsky, Jessalyn, Drew, Steve
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians
by: Wu, Jiajun, et al.
Published: (2025)

Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)

Benchmarking and Adapting On-Device LLMs for Clinical Decision Support
by: Munim, Alif, et al.
Published: (2025)

Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments
by: Han, Seungjun, et al.
Published: (2024)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
by: Oniani, David, et al.
Published: (2024)

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
by: Sun, Liwen, et al.
Published: (2024)

A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support
by: Xiao, Xingyu, et al.
Published: (2024)

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation
by: Bi, Zhenyu, et al.
Published: (2025)

Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
by: Wan, Nicholas, et al.
Published: (2024)

Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
by: Lu, Yi-Long, et al.
Published: (2025)

OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)

Quantifying Semantic Emergence in Language Models
by: Chen, Hang, et al.
Published: (2024)

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models
by: Khademi, Sedigh, et al.
Published: (2025)

Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models
by: Alrashed, Sultan, et al.
Published: (2024)

Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support
by: Wang, Guoxin, et al.
Published: (2025)

MindEval: Benchmarking Language Models on Multi-turn Mental Health Support
by: Pombal, José, et al.
Published: (2025)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
by: Luo, Ziyang, et al.
Published: (2025)

JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models
by: Liu, Junyu, et al.
Published: (2026)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
by: Xie, Congkai, et al.
Published: (2025)

Evaluating Large Language Models in Crisis Detection: A Real-World Benchmark from Psychological Support Hotlines
by: Deng, Guifeng, et al.
Published: (2025)

Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)

Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark Study
by: Yao, Xuan, et al.
Published: (2025)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
by: Li, Dongchen, et al.
Published: (2025)

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models
by: Chen, Zirui, et al.
Published: (2025)

DPPA: Pruning Method for Large Language Model to Model Merging
by: Zhu, Yaochen, et al.
Published: (2024)

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
by: Liu, Xiao, et al.
Published: (2024)

An Empirical Study of SFT-DPO Interaction and Parameterization in Small Language Models
by: Feng, Yuming, et al.
Published: (2026)

Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
by: Wu, Yuheng, et al.
Published: (2025)

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial
by: Adams, Lisa C., et al.
Published: (2026)

Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
by: Pavlidis, Nikolaos, et al.
Published: (2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

Citekit: A Modular Toolkit for Large Language Model Citation Generation
by: Shen, Jiajun, et al.
Published: (2024)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)

TinyLlama: An Open-Source Small Language Model
by: Zhang, Peiyuan, et al.
Published: (2024)

Language Imbalance Driven Rewarding for Multilingual Self-improving
by: Yang, Wen, et al.
Published: (2024)

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
by: LI, Yizhi, et al.
Published: (2024)

Leveraging Large Language Models for Hybrid Workplace Decision Support
by: Kim, Yujin, et al.
Published: (2024)